{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aa8769e7-f8ac-4079-88d7-888996bf91d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#此行参数用于Experiment.sweep()功能，在jupyter内部画图\n",
    "%matplotlib widget\n",
    "\n",
    "from cion.experiment import *\n",
    "from cion.sequencer import *\n",
    "from cion.data import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "699d0e99-6e73-4adf-832f-59e043089924",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "#include sequencies\n",
    "execfile(\"cion/data.py\")\n",
    "execfile(\"cion/sequencer.py\")\n",
    "Global_Setting.set_debug_mode(False)\n",
    "execfile('ZTESTER_Load_ion.py')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d5bd5c50-c75f-42b1-b1e3-0d23d0c700e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202209\\20220914\\\n"
     ]
    }
   ],
   "source": [
    "ion_number = 1\n",
    "exp = Experiment(ion_number=ion_number, chapter_dict=Exp_chapter_dict, port=\"COM5\")\n",
    "seq = exp.last_sequence\n",
    "print(exp.data.path_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1b1ec5df-c4a7-476c-974f-f97e1128ae96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Doppler': '00000000 00000000 00001111,[10000000 00000000 00000000, 1],[10000000 00000000 00010000,1]',\n",
       " 'Zero': '11000000 10000000 00000000',\n",
       " 'Strong': '11111111 11111111 11111111,[10000000 00000000 00000000, 1],[10000000 00000000 00010000,1]'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Doppler_chapter_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "810578a3-6e38-4498-8c20-d84f4c5e619e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Doppler': '00000000 00000000 00000000',\n",
       " 'Doppler_Only': '00000000 00000000 00001111,[10000000 00000000 00000000, 1],[10000000 00000000 00010000,1]',\n",
       " 'Pumping': '01100000 11000000 00000000',\n",
       " 'Detection': '01010000 10000000 00001111,[11000000 00000000 00000000, 1],[11000000 00000000 00010000,1]',\n",
       " 'Microwave': '11000000 10100000 00000000',\n",
       " 'Zero': '11000000 10000000 00000000',\n",
       " 'Strong': '11111111 11111111 11111111'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Exp_chapter_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ef04d17-dba2-47b8-8caf-a3faa4dfefbe",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Load Ion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0a94e6b6-aaf6-4237-9c8d-1d3291f11e36",
   "metadata": {},
   "outputs": [],
   "source": [
    "exp.update_chapter_dict(Exp_chapter_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "58acc320-0fd4-468c-b000-6252a7644639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "485c1b39342146c48a49926f8aa047b0",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "doppler_cooling = exp.new_sequence()\n",
    "doppler_cooling.set_sequence(\n",
    "    Zero(1).on(all),\n",
    "    Doppler_Only(1000, label='Doppler').on(all),\n",
    "    Zero(1).on(all))\n",
    "exp.print_sequence(sequence=doppler_cooling, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea80becd-27c4-42d4-b016-46284375f288",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "85649ca1a8ff412f85f09cd738decb8a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aecee9cb6db640f780c6c1f477a2f03a",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4QAAAGQCAYAAAD2lq6fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAI50lEQVR4nO3XMQEAIAzAMMC/5yFjRxMFfXtnZg4AAAA5bzsAAACAHYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQNQH7bQHHAtCD+8AAAAASUVORK5CYII=",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=900.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.repeat=100\n",
    "exp.threshold=2\n",
    "exp.state_flag=False\n",
    "exp.sweep(sequence=doppler_cooling)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28afe390-90a2-44a3-9ad5-ef47905c11bb",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "# Optimize Doppler Cooling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "abfa848f-242b-4f57-9994-3d5f6dbcd3ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202207\\20220722\\FreqScan-20220722141221.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "04aaff13272a4b189573e92c16db1628",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAABKW0lEQVR4nO3deXxU5d3///eZmcxkT0hCNgi7gCJLAEGsIigVUBH3XRYRa29tq7bKzf1rLdr2xtb161Kt961QW6vVh0ot7Y0iq8oiIBFBZAkEAiRhCclknSxzfn+EjI4ECGQ5mTmv5+NxHpA515x85noMc95c5zrXGKZpmgIAAIBtOKwuAAAAAO2LAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM24rC4glPn9fh04cEBxcXEyDMPqcgAAQDOYpqmysjJlZmbK4bDnWBgBsAUOHDigrKwsq8sAAABnID8/X127drW6DEsQAFsgLi5OUsMbKD4+3uJqAABAc3i9XmVlZQXO43ZEAGyBxsu+8fHxBEAAAEKMnadv2fPCNwAAgI0RAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbCckAuHLlSk2aNEmZmZkyDEMLFiwI2m8YRpPbE088EWjTo0eP4/Y//vjj7fxKmvbRlkLd+8YX+uDLA1aXAgAAwlBIBsCKigoNHjxYL774YpP7CwoKgrbXXntNhmHouuuuC2r32GOPBbX7yU9+0h7ln9LmA17966sCLd1aZHUpAAAgDLmsLuBMTJw4URMnTjzh/vT09KCf//GPf2js2LHq1atX0ONxcXHHte0Izu+ZpOckrd1dLNM0ZRiG1SUBAIAwEpIjgKejqKhI//rXvzRjxozj9j3++ONKTk5Wdna2nnjiCdXV1Z30WD6fT16vN2hrC9ndOinCaaigtFp7iyvb5HcAAAD7CskRwNPx5z//WXFxcbr22muDHv/pT3+qoUOHKikpSatWrdLs2bNVUFCgp59++oTHmjt3rh599NG2LllRbqeGZCVqXd5Rrd1VrO7JMW3+OwEAgH2E/Qjga6+9pttuu02RkZFBjz/44IMaM2aMBg0apHvuuUdPPfWUnn/+efl8vhMea/bs2SotLQ1s+fn5bVb3yJ7JkqQ1u4+02e8AAAD2FNYB8JNPPtG2bdt01113nbLtyJEjVVdXp7y8vBO28Xg8io+PD9raysheSZKktbuK2+x3AAAAewrrAPjqq69q2LBhGjx48Cnb5uTkyOFwKDU1tR0qO7Vh3TvJ5TC0v6RK+cwDBAAArSgk5wCWl5dr586dgZ93796tnJwcJSUlqVu3bpIkr9erd955R0899dRxz1+9erXWrl2rsWPHKi4uTqtXr9YDDzyg22+/XZ06dWq313Ey0W6XBnVN0Bd7S7R2d7GykqKtLgkAAISJkBwBXL9+vbKzs5WdnS2pYT5fdna2HnnkkUCbt956S6Zp6pZbbjnu+R6PR2+99ZYuvvhiDRgwQL/73e/0wAMP6JVXXmm319AcI3sdmwe4i3mAAACg9RimaZpWFxGqvF6vEhISVFpa2ibzAZdvO6hp89YpKylKnzx8SasfHwAAO2rr83coCMkRQLsY3iNJToeh/OIq7S+psrocAAAQJgiAHVisx6VzuyRIktZyGRgAALQSAmAHd35PloMBAACtiwDYwZ3fiwWhAQBA6yIAdnDDe3SSw5D2HKlUYWm11eUAAIAwQADs4OIiIzQg89g8QEYBAQBAKyAAhoDzj30tHOsBAgCA1kAADAEjezbMA+RGEAAA0BoIgCHgvJ5JMgxp1+EKHfQyDxAAALQMATAEJERF6JyMhpXKP89jFBAAALQMATBEDM5KlCR9fcBrbSEAACDkEQBDRP/0OEnSN4VlFlcCAABCHQEwRPRLawiA2wiAAACghQiAIaJ/esMcwP0lVfJW11pcDQAACGUEwBCREB2hjIRISdJ2RgEBAEALEABDSD/mAQIAgFZAAAwhjQGQeYAAAKAlCIAh5Ns7gVkKBgAAnDkCYAhpvBHkm8IymaZpcTUAACBUEQBDSO/OsXI5DJVV16mglK+EAwAAZ4YAGELcLod6dY6RxDxAAABw5giAIabfdy4DAwAAnAkCYIjhRhAAANBSBMAQ05+lYAAAQAsRAENM41qAuYfKVVvvt7gaAAAQigiAIaZLYpTiPC7V1pvadajC6nIAAEAIIgCGGMMw1Jd5gAAAoAUIgCGIr4QDAAAtQQAMQd/eCUwABAAAp48AGIIavxKOEUAAAHAmCIAhqF9awwjg/pIqeatrLa4GAACEGgJgCEqIjlBGQqQkaTujgAAA4DQRAENUP+YBAgCAM0QADFHcCQwAAM4UATBEnX3sRhDWAgQAAKeLABiivnsJ2DRNi6sBAAChhAAYonp3jpXLYaisuk4HSqutLgcAAISQkAyAK1eu1KRJk5SZmSnDMLRgwYKg/dOmTZNhGEHbhAkTgtoUFxfrtttuU3x8vBITEzVjxgyVl5e346toGbfLobMzGi4Dr88rtrgaAAAQSkIyAFZUVGjw4MF68cUXT9hmwoQJKigoCGxvvvlm0P7bbrtNW7Zs0eLFi7Vw4UKtXLlSd999d1uX3qou6J0sSfps52GLKwEAAKHEZXUBZ2LixImaOHHiSdt4PB6lp6c3uW/r1q1atGiR1q1bp+HDh0uSnn/+eV1++eV68sknlZmZ2eo1t4VRvZP1p5W79NnOIzJNU4ZhWF0SAAAIASE5Atgcy5cvV2pqqvr166cf//jHOnLkSGDf6tWrlZiYGAh/kjRu3Dg5HA6tXbvWinLPyIieSYpwGtpfUqW9xZVWlwMAAEJEWAbACRMm6PXXX9eSJUv0+9//XitWrNDEiRNVX18vSSosLFRqamrQc1wul5KSklRYWHjC4/p8Pnm93qDNStFul7KzOkmSVuUeOUVrAACABmEZAG+++WZdddVVGjhwoK6++motXLhQ69at0/Lly1t03Llz5yohISGwZWVltU7BLTCKeYAAAOA0hWUA/L5evXopJSVFO3fulCSlp6fr4MGDQW3q6upUXFx8wnmDkjR79myVlpYGtvz8/Datuzl+0CdFkrQ694j8ftYDBAAAp2aLALhv3z4dOXJEGRkZkqRRo0appKREGzZsCLRZunSp/H6/Ro4cecLjeDwexcfHB21WG5KVqKgIp45U1Gj7Qb4WDgAAnFpIBsDy8nLl5OQoJydHkrR7927l5ORo7969Ki8v10MPPaQ1a9YoLy9PS5Ys0eTJk9WnTx+NHz9eknT22WdrwoQJmjlzpj7//HN99tlnuu+++3TzzTeHzB3Ajdwuh87rmSRJ+mwn8wABAMCphWQAXL9+vbKzs5WdnS1JevDBB5Wdna1HHnlETqdTmzZt0lVXXaW+fftqxowZGjZsmD755BN5PJ7AMd544w31799fl156qS6//HJdeOGFeuWVV6x6SS3yg2PzAFcxDxAAADSDYfJFsmfM6/UqISFBpaWlll4O3ry/VFc+/6liPS7lPPJDuZwhmesBAGgXHeX8bSWSQhg4OyNeCVERKvfVadP+UqvLAQAAHRwBMAw4HYZG9eIyMAAAaB4CYJj4QZ/G9QC5EQQAAJwcATBMjOrdsB7ghr1HVV1bb3E1AACgIyMAhonenWOUFu9RTZ1fG/YctbocAADQgREAw4RhGPrBsVFAvhYOAACcDAEwjAS+FziXeYAAAODECIBhpDEAbt5fKl8d8wABAEDTCIBhpEtilGI9LtX7Te09Uml1OQAAoIMiAIYRwzDUu3OMJCn3ULnF1QAAgI6KABhmeneOlSTlHqqwuBIAANBREQDDTO/UhgC48yAjgAAAoGkEwDDz7QggARAAADSNABhm+qQemwN4sFymaVpcDQAA6IgIgGGmW1KMnA5DFTX1KvL6rC4HAAB0QATAMON2OdQ9KVoSl4EBAEDTCIBhqBfzAAEAwEkQAMNQ7+/MAwQAAPg+AmAYarwTeCcjgAAAoAkEwDDU59hagLkHWQwaAAAcjwAYhnqnNATAQm+1yn11FlcDAAA6GgJgGEqIjlBKrEeStIvLwAAA4HsIgGGqd+djN4IQAAEAwPcQAMNUb+YBAgCAEyAAhqnAncAsBQMAAL6HABimAncCcwkYAAB8DwEwTDXOAcw7UqG6er/F1QAAgI6EABimMhOiFBnhUG29qfyjVVaXAwAAOhACYJhyOAz1Smm8EYTLwAAA4FsEwDDWm3mAAACgCQTAMMZagAAAoCkEwDDGUjAAAKApBMAw9u1SMBUyTdPiagAAQEdBAAxjPVNiZBhSaVWtjlTUWF0OAADoIAiAYSwywqmunaIkcScwAAD4FgEwzDXOA8w9xHcCAwCABgTAMPdtAGQEEAAANAjJALhy5UpNmjRJmZmZMgxDCxYsCOyrra3VrFmzNHDgQMXExCgzM1NTpkzRgQMHgo7Ro0cPGYYRtD3++OPt/EraHncCAwCA7wvJAFhRUaHBgwfrxRdfPG5fZWWlvvjiC/3qV7/SF198offee0/btm3TVVdddVzbxx57TAUFBYHtJz/5SXuU3676pcdJkrYc8HInMAAAkCS5rC7gTEycOFETJ05scl9CQoIWL14c9NgLL7ygESNGaO/everWrVvg8bi4OKWnp7dprVYbkBkvl8PQ4XKfCkqrlZkYZXVJAADAYiE5Ani6SktLZRiGEhMTgx5//PHHlZycrOzsbD3xxBOqq6uzpsA2FBnhVN+0hlHATftKrC0GAAB0CCE5Ang6qqurNWvWLN1yyy2Kj48PPP7Tn/5UQ4cOVVJSklatWqXZs2eroKBATz/99AmP5fP55PP5Aj97vd42rb21DM5K0NcFXn25r1QTzs2wuhwAAGCxsA6AtbW1uvHGG2Wapl566aWgfQ8++GDg74MGDZLb7daPfvQjzZ07Vx6Pp8njzZ07V48++mib1twWBnZJ1JvKZwQQAABICuNLwI3hb8+ePVq8eHHQ6F9TRo4cqbq6OuXl5Z2wzezZs1VaWhrY8vPzW7nqtjGoa4IkadO+Uvn93AgCAIDdheUIYGP427Fjh5YtW6bk5ORTPicnJ0cOh0OpqaknbOPxeE44OtiR9UuPk8flUFl1nfKOVKjXsaVhAACAPYVkACwvL9fOnTsDP+/evVs5OTlKSkpSRkaGrr/+en3xxRdauHCh6uvrVVhYKElKSkqS2+3W6tWrtXbtWo0dO1ZxcXFavXq1HnjgAd1+++3q1KmTVS+rzUQ4HTonM14b95Zo075SAiAAADYXkgFw/fr1Gjt2bODnxvl8U6dO1Zw5c/TBBx9IkoYMGRL0vGXLlmnMmDHyeDx66623NGfOHPl8PvXs2VMPPPBA0LzAcDO4a6I27i3Rl/tKdHV2F6vLAQAAFgrJADhmzJiTLmp8qgWPhw4dqjVr1rR2WR3ad+cBAgAAewvbm0AQbFDXREnSlgOlqqv3W1sMAACwFAHQJnqlxCjO41J1rV/bi/heYAAA7IwAaBMOh6FzuzReBi6xthgAAGApAqCNDMpqCIBfMg8QAABbIwDayOBj8wAZAQQAwN4IgDbSeCfwtsIyVdfWW1wNAACwCgHQRrokRik5xq06v6mvC7xWlwMAACxCALQRwzC+XQ8wv8TaYgAAgGUIgDYzKDAPkBtBAACwKwKgzQwO3AlcYm0hAADAMgRAm2kcAdx1uEJl1bXWFgMAACxBALSZlFiPuiRGyTSlzfu5EQQAADsiANpQ4EYQLgMDAGBLBEAbGngsAH61nxtBAACwIwKgDQ089p3AmwmAAADYEgHQhgZkNgTAvCOV8nIjCAAAtkMAtKGkGLe6JEZJkr4+wI0gAADYDQHQps7tEi+Jy8AAANgRAdCmzs1kHiAAAHZFALSpcxtvBOESMAAAtkMAtKkBxy4B5x4qV2VNncXVAACA9kQAtKnUuEilxXtkmtLWAkYBAQCwEwKgjTXOA/xqH/MAAQCwEwKgjQ1gHiAAALZEALSxczNZCgYAADsiANpY43cC7zhYruraeourAQAA7YUAaGPp8ZFKjnGr3m/qm8Iyq8sBAADthABoY4ZhfDsPkMvAAADYBgHQ5hrnAW45QAAEAMAuCIA2NzAwAsidwAAA2AUB0OYavxJuW2GZaur8FlcDAADaAwHQ5rp2ilJ8pEs19X5tL+JGEAAA7IAAaHOGYQRGAZkHCACAPRAAEQiAzAMEAMAeCIAIBMCvWAoGAABbIAAisBTM1gKv6uq5EQQAgHBHAIR6JMcoxu2Ur86v3EMVVpcDAADaGAEQcjgMDcjkMjAAAHYRkgFw5cqVmjRpkjIzM2UYhhYsWBC03zRNPfLII8rIyFBUVJTGjRunHTt2BLUpLi7Wbbfdpvj4eCUmJmrGjBkqLy9vx1fRsQzs2hAAN+0rsbYQAADQ5kIyAFZUVGjw4MF68cUXm9z/hz/8Qc8995xefvllrV27VjExMRo/fryqq6sDbW677TZt2bJFixcv1sKFC7Vy5Urdfffd7fUSOpxBxwLgl/sYAQQAINwZpmmaVhfREoZh6P3339fVV18tqWH0LzMzUz//+c/1i1/8QpJUWlqqtLQ0zZ8/XzfffLO2bt2qc845R+vWrdPw4cMlSYsWLdLll1+uffv2KTMzs1m/2+v1KiEhQaWlpYqPj2+T19de8g5XaMyTy+V2OrT50fFyu0Ly/wYAAJxSOJ2/z1TYneV3796twsJCjRs3LvBYQkKCRo4cqdWrV0uSVq9ercTExED4k6Rx48bJ4XBo7dq1Jzy2z+eT1+sN2sJF9+RoJURFqKber22FfCMIAADhLOwCYGFhoSQpLS0t6PG0tLTAvsLCQqWmpgbtd7lcSkpKCrRpyty5c5WQkBDYsrKyWrl66xiG8Z3LwCXWFgMAANpU2AXAtjR79myVlpYGtvz8fKtLalWDuyZK4kYQAADCXdgFwPT0dElSUVFR0ONFRUWBfenp6Tp48GDQ/rq6OhUXFwfaNMXj8Sg+Pj5oCyeDAncCcyMIAADhLOwCYM+ePZWenq4lS5YEHvN6vVq7dq1GjRolSRo1apRKSkq0YcOGQJulS5fK7/dr5MiR7V5zRzE4K1GStL2oTJU1ddYWAwAA2ozL6gLORHl5uXbu3Bn4effu3crJyVFSUpK6deum+++/X7/97W911llnqWfPnvrVr36lzMzMwJ3CZ599tiZMmKCZM2fq5ZdfVm1tre677z7dfPPNzb4DOBylxUcqLd6jIq9Pm/d7NaJnktUlAQCANhCSI4Dr169Xdna2srOzJUkPPvigsrOz9cgjj0iSHn74Yf3kJz/R3XffrfPOO0/l5eVatGiRIiMjA8d444031L9/f1166aW6/PLLdeGFF+qVV16x5PV0JIOYBwgAQNgL+XUArRSO6wi9sHSHnvxouyYNztTzt2RbXQ4AAK0uHM/fpyskRwDRdhgBBAAg/BEAEaTxTuA9RypVUlljcTUAAKAtEAARJDHare7J0ZJYDgYAgHBFAMRxuAwMAEB4IwDiOIMDXwnHCCAAAOGIAIjjMAIIAEB4IwDiOOd2iZfDkIq8PhV5q60uBwAAtDICII4T7XbprNQ4SdKX+SXWFgMAAFodARBNalwOhjuBAQAIPwRANGlQVqIk6UvmAQIAEHYIgGhS453AX+0vFd8WCABAeCEAokn90+PldjpUUlmrPUcqrS4HAAC0IgIgmuR2OTTw2Cjg+j1HLa4GAAC0JgIgTmh4j06SpPV5xRZXAgAAWhMBECd0XvckSdI6AiAAAGGFAIgTGta9YQQw91CFjpT7LK4GAAC0FgIgTqhTjFtnpcZKkjYwDxAAgLBBAMRJDe/RcBmYG0EAAAgfBECc1HnHbgRhHiAAAOGDAIiTOu/YCODm/aWqqqm3uBoAANAaCIA4qa6dopQeH6naelM5+SVWlwMAAFoBARAnZRgG6wECABBmCIA4pcbLwOu4EQQAgLBAAMQpNY4AfrHnqOr9psXVAACAliIA4pT6p8cr1uNSua9O3xR6rS4HAAC0EAEQp+R0GBravXEeIJeBAQAIdQRANMt53VkPEACAcEEARLM0fiPIurximSbzAAEACGUEQDTLkKxERTgNFXl92ne0yupyAABACxAA0SxRbqfO7ZIgSVq/h8vAAACEMgIgmi2wHiA3ggAAENIIgGi24Y03guxmBBAAgFBGAESzNd4IsuNguY6U+yyuBgAAnCkCIJotKcat/ulxkqS1jAICABCyCIA4Lef3SpYkrc49YnElAADgTBEAcVoCAXAXARAAgFBFAMRpOb9XkgxD2nmwXIfKmAcIAEAoCtsA2KNHDxmGcdx27733SpLGjBlz3L577rnH4qo7vsRot/qnx0uS1jAKCABASHJZXUBbWbdunerr6wM/b968WT/84Q91ww03BB6bOXOmHnvsscDP0dHR7VpjqBrVK1lbC7xaveuIJg3OtLocAABwmsI2AHbu3Dno58cff1y9e/fWxRdfHHgsOjpa6enp7V1ayBvVO1mvfbabEUAAAEJU2F4C/q6amhr99a9/1Z133inDMAKPv/HGG0pJSdG5556r2bNnq7Ky0sIqQ8eIHg3zAHcdqlCRt9rqcgAAwGkK2xHA71qwYIFKSko0bdq0wGO33nqrunfvrszMTG3atEmzZs3Stm3b9N57753wOD6fTz7ftzc+eL3etiy7w0qIjtCAzHht3u/Vml1HNHlIF6tLAgAAp8EWAfDVV1/VxIkTlZn57Xy1u+++O/D3gQMHKiMjQ5deeqlyc3PVu3fvJo8zd+5cPfroo21ebygY1SuZAAgAQIgK+0vAe/bs0ccff6y77rrrpO1GjhwpSdq5c+cJ28yePVulpaWBLT8/v1VrDSUsCA0AQOgK+xHAefPmKTU1VVdcccVJ2+Xk5EiSMjIyTtjG4/HI4/G0Znkh67yeSXIYUt6RShWUVikjIcrqkgAAQDOF9Qig3+/XvHnzNHXqVLlc32bd3Nxc/eY3v9GGDRuUl5enDz74QFOmTNHo0aM1aNAgCysOHfGRERrYJUESo4AAAISasA6AH3/8sfbu3as777wz6HG3262PP/5Yl112mfr376+f//znuu666/TPf/7TokpD0/m9Gy4DsxwMAAChJawvAV922WUyTfO4x7OysrRixQoLKgov5/dK1p9W7OJ7gQEACDFhPQKItnVejyQ5HYbyi6u07yhrKAIAECoIgDhjsR6XBnVtmAe4ZlexxdUAAIDmIgCiRVgOBgCA0EMARItccOxGkE93HmpyviUAAOh4CIBokfN6JCkqwqkir0/fFJZZXQ4AAGgGAiBaJDLCqVHHRgGXbztkcTUAAKA5CIBosTH9OkuSlm87aHElAACgOQiAaLGL+zYEwA17jqqsutbiagAAwKkQANFi3ZNj1DMlRnV+U5/t5G5gAAA6OgIgWkXjKOCK7cwDBACgoyMAolVcfGwe4IptB1kOBgCADo4AiFYxqleyPC6HDpRWa8fBcqvLAQAAJ0EARKuIjHBq5LFvBVnBcjAAAHRoBEC0mjHH5gEu385yMAAAdGQEQLSaxvUA1+0+qgpfncXVAACAEyEAotX0TIlRVlKUaur9Wp3LcjAAAHRUBEC0GsMwNKZvqiQuAwMA0JERANGqvv1auEMsBwMAQAdFAESrGtU7WW6nQ/uOVmnX4QqrywEAAE0gAKJVRbtdGtEzSZK07BsuAwMA0BERANHqxg9IkyT9dc0e1fu5DAwAQEdDAESru25YVyVGRyjvSKU+3FJodTkAAOB7CIBoddFul6aM6iFJenlFLjeDAADQwRAA0SamjuquyAiHNu0rZU1AAAA6GAIg2kRyrEc3Ds+SJL20ItfiagAAwHcRANFmZl7US06HoU92HNbm/aVWlwMAAI4hAKLNZCVF64qBGZKkP63cZXE1AACgEQEQbepHF/eSJP1r0wHtPVJpcTUAAEAiAKKNDchM0Oi+neU3pf/9lFFAAAA6AgIg2tw9x0YB/74uX4fLfRZXAwAACIBoc6N6JWtw1wT56vx6aTl3BAMAYDUCINqcYRj6+WX9JEmvr85TfjFzAQEAsBIBEO1idN/OuuisFNXWm3riw21WlwMAgK0RANFuZk3oL8OQPvjygDbtK7G6HAAAbIsAiHZzbpcEXTOkiyTpv/+9le8IBgDAIgRAtKsHL+srt8uhNbuKtXzbIavLAQDAlgiAaFddO0Vr+gU9JElz/2+r6v2MAgIA0N7CNgDOmTNHhmEEbf379w/sr66u1r333qvk5GTFxsbquuuuU1FRkYUV28d/jOmjhKgIbS8q17sb9lldDgAAthO2AVCSBgwYoIKCgsD26aefBvY98MAD+uc//6l33nlHK1as0IEDB3TttddaWK19JERH6CeX9JEkPbV4mypr6iyuCAAAewnrAOhyuZSenh7YUlJSJEmlpaV69dVX9fTTT+uSSy7RsGHDNG/ePK1atUpr1qyxuGp7uGNUd3XtFKUir0/PLdlpdTkAANhKWAfAHTt2KDMzU7169dJtt92mvXv3SpI2bNig2tpajRs3LtC2f//+6tatm1avXm1VubbicTk1Z9IASdL/frJL24vKLK4IAAD7CNsAOHLkSM2fP1+LFi3SSy+9pN27d+uiiy5SWVmZCgsL5Xa7lZiYGPSctLQ0FRYWnvCYPp9PXq83aMOZG3dOmsadnaY6v6lfLtjMsjAAALQTl9UFtJWJEycG/j5o0CCNHDlS3bt319tvv62oqKgzOubcuXP16KOPtlaJkDTnqnP02c7D+nx3sd77Yr+uG9bV6pIAAAh7YTsC+H2JiYnq27evdu7cqfT0dNXU1KikpCSoTVFRkdLT0094jNmzZ6u0tDSw5efnt3HV4a9rp2j99NKzJDUsDl1aWWtxRQAAhD/bBMDy8nLl5uYqIyNDw4YNU0REhJYsWRLYv23bNu3du1ejRo064TE8Ho/i4+ODNrTcjAt76qzUWB2pqNEfPvzG6nIAAAh7YRsAf/GLX2jFihXKy8vTqlWrdM0118jpdOqWW25RQkKCZsyYoQcffFDLli3Thg0bNH36dI0aNUrnn3++1aXbjtvl0G+uPleS9LfP9yonv8TaggAACHNhGwD37dunW265Rf369dONN96o5ORkrVmzRp07d5YkPfPMM7ryyit13XXXafTo0UpPT9d7771ncdX2dX6vZF2b3UWmKf1ywVd8QwgAAG3IMLn18ox5vV4lJCSotLSUy8Gt4HC5T2OfXK6y6jo9fu1A3Tyim9UlAQDCEOfvMB4BROhJifXo/nF9JUlPfLhN3mpuCAEAoC0QANGhTBnVXb07x+hIRY2eX7LD6nIAAAhLBEB0KBFOh3515TmSpHmf5Sn3ULnFFQEAEH4IgOhwxvRL1SX9U1XnN/W7f221uhwAAMIOARAd0i+vOFsuh6Gl3xzUsm0HrS4HAICwQgBEh9Src6ym/6CHJOk3C79WTZ3f2oIAAAgjBEB0WD+59Cwlx7i161CF/rwqz+pyAAAIGwRAdFjxkRF6aHw/SdITH23TlgOlFlcEAEB4IACiQ7txeJYu7Z+qmjq/7vvbRpWxNiAAAC1GAESH5nAYevKGwcpMiNTuwxWa/d5X4strAABoGQIgOrxOMW49f+tQuRyGFm4q0N8+32t1SQAAhDQCIELCsO6dAvMBH/3n1/r6gNfiigAACF0EQISMmRf10iXH5gPe+7cvVO6rs7okAABCEgEQIcPhMPTUDYOVcWw+4G8Xfm11SQAAhCQCIEJKpxi3nr1piCTprXX5WrPriLUFAQAQggiACDkjeyXr1pHdJEmz3/tK1bX1FlcEAEBoIQAiJP3nxP5KjfNo9+EKPb90h9XlAAAQUgiACEnxkRF6bPIASdKfVuzS1gLuCgYAoLkIgAhZE87N0GXnpKnOb+o/3/tK9X4WiAYAoDkIgAhpj00+V3Eel77ML9Hrq/OsLgcAgJBAAERIS0+I1MMT+0uSnvhwm/YcqbC4IgAAOj4CIELebSO66bwenVRZU6/p89bpaEWN1SUBANChEQAR8hwOQy/cOlRdEqO063CF7np9PUvDAABwEgRAhIW0+EjNm36e4iNd2rDnqO5/K4ebQgAAOAECIMJG37Q4vTJluNxOhxZtKdRv/8VXxQEA0BQCIMLK+b2S9eSNgyVJ8z7L0/9+ssviigAA6HgIgAg7Vw3O1Oxjdwb/7t9btWhzocUVAQDQsRAAEZbuHt1Lt5/fTaYpPfD3HG3eX2p1SQAAdBgEQIQlwzA0Z9IAXXRWiqpq6zXjz+tUWFptdVkAAHQIBECELZfToRduHao+qbEq8vp01+vrVFlTZ3VZAABYjgCIsJYQFaHXpp6npBi3Nu/36sG/fyk/y8MAAGyOAIiw1y05Wn+6Y1hgeZinFm+zuiQAACxFAIQtnNcjSY9fN1CS9OKyXK3aedjiigAAsA4BELZx7dCuunVkN0nSL975UqVVtRZXBACANQiAsJX/7/Kz1T05WgdKq/XoB1usLgcAAEsQAGErMR6Xnr5xiByG9N7G/fq/rwqsLgkAgHZHAITtDOveST8e01uS9F/vf6WDXtYHBADYCwEQtvSzS/tqQGa8jlbWata7m2SaLA0DALCPsA2Ac+fO1Xnnnae4uDilpqbq6quv1rZtwct/jBkzRoZhBG333HOPRRWjPbldDj1z0xC5XQ4t23ZI/2/JDtWzPiAAwCbCNgCuWLFC9957r9asWaPFixertrZWl112mSoqKoLazZw5UwUFBYHtD3/4g0UVo731TYvTw+P7SZKe/XiHJr/4qXLyS6wtCgCAduCyuoC2smjRoqCf58+fr9TUVG3YsEGjR48OPB4dHa309PT2Lg8dxIwLeyrK7dTv/+8bbd7v1TV//Ey3juimh8f3V0J0hNXlAQDQJsJ2BPD7SktLJUlJSUlBj7/xxhtKSUnRueeeq9mzZ6uysvKEx/D5fPJ6vUEbQpthGLptZHct+fkYXTu0i0xTemPtXl3y1HK99fleLgsDAMKSYdpg9rvf79dVV12lkpISffrpp4HHX3nlFXXv3l2ZmZnatGmTZs2apREjRui9995r8jhz5szRo48+etzjpaWlio+Pb7P60X7W7DqiXy7YrJ0HyyVJ/dPj9Ksrz9EP+qRYXBkAoLV4vV4lJCTY+vxtiwD44x//WP/3f/+nTz/9VF27dj1hu6VLl+rSSy/Vzp071bt37+P2+3w++Xy+wM9er1dZWVm2fgOFo5o6v/6yZo/+38fb5a2ukySNOztVsy8/W707x1pcHQCgpQiANrgEfN9992nhwoVatmzZScOfJI0cOVKStHPnzib3ezwexcfHB20IP26XQzMu7KkVD43VtAt6yOkw9PHWg5rw7Eqt2H7I6vIAAGixsA2Apmnqvvvu0/vvv6+lS5eqZ8+ep3xOTk6OJCkjI6ONq0Mo6BTj1pyrBujD+0frwj4pqq03dd/fvtCuQ+VWlwYAQIuEbQC899579de//lV/+9vfFBcXp8LCQhUWFqqqqkqSlJubq9/85jfasGGD8vLy9MEHH2jKlCkaPXq0Bg0aZHH16Ej6pMbq1WnDNax7J5VV1+mu19ertKrW6rIAADhjYTsH0DCMJh+fN2+epk2bpvz8fN1+++3avHmzKioqlJWVpWuuuUa//OUvm31plzkE9nKozKerXvhUBaXVurhvZ7027Tw5HU2/zwAAHRfn7zAOgO2BN5D9bN5fqutfXqXqWr/uHt1L/3X52VaXBAA4TZy/w/gSMNAWzu2SoCdvGCxJemXlLr27YZ/FFQEAcPoIgMBpunJQpn5ySR9J0s/f+VL/8cYGfVPIouAAgNBBAATOwAPj+uqWEVmSpH9/VagJz36ie/6yQV8fIAgCADo+5gC2AHMI8E2hV88v2al/by5Q47+kS/qn6o5R3XXxWZ3l4CYRAOhwOH8TAFuENxAabS8q03NLduhfX30bBLslRev287vphmFZ6hTjtrZAAEAA528CYIvwBsL37TpUrr+u2at3NuSr7NjXyLldDg3qkqDenWPVJzVWvVNjdFZqnLKSoi2uFgDsifM3AbBFeAPhRCpr6vRBzgG9vnqPvi5oel5gdrdETf9BT008N10RTqbjAkB74fxNAGwR3kA4FdM0tb2oXN8UepV7qEK5h8qVe7BcOw+Wq87f8E8vLd6jO87vrltGdFNyrMfiigEg/HH+JgC2CG8gnKmDZdX629q9+uuavTpc7pMkRUY49PD4/pp2QQ9uHgGANsT5mwDYIryB0FI1dX79+6sCvfbZbm3aVypJuqB3sp64YbC6JEZZXB0AhCfO36wDCFjK7XLo6uwu+se9P9Bvrj5XURFOrco9ognPrNR7X+wT/z8DALQFRgBbgP9BoLXtPlyhB9/O0ca9JZKkgV0S1CnGLbfTIY+rYRvavZNuHJ4lt4v/vwHAmeD8TQBsEd5AaAt19X79aeUuPfvxdtXWN/3Ps2unKD0wrq+uzu4iJ/MFAeC0cP4mALYIbyC0pbzDFdq0v1Q1df5jW72OVtbqb5/v1aGyhhtH+qbF6ueX9dNl56TJMAiCANAcnL8JgC3CGwhWqKyp0/xVeXp5ea68xxabTo3z6MI+KbrwrBRd2CdFqfGRFlcJAB0X528CYIvwBoKVSitr9aeVuZq/Kk+VNfVB+/qmxWpQ10SdkxGvszPidU5GvBKiIyyqFAA6Fs7fBMAW4Q2EjqC6tl5f7DmqlTsO69Odh7TlgFdN/avumRKj64d11c3nZbHgNABb4/xNAGwR3kDoiIoravT57mJtLfDq6wKvthZ4te9oVWC/2+nQlYMydMeo7hqSlcjcQQC2w/mbANgivIEQKkqrarX46yL9ZXWevjy24LQk9UqJ0TmZ8eqfHqd+6Q1/du0URSgEENY4fxMAW4Q3EEJRTn6JXl+dp4WbClRT5z9uf3KMW+f1SNKIng3b2RnxLDUDIKxw/iYAtghvIISyksoabcwv0bbCMm0rLNPWAq9yD5Uft/ZgnMeli/qmaPyAdI3tn6r4SG4mARDaOH8TAFuENxDCTU2dX1/tL9Xnu4v1+e4jWp93VGW+usD+CKehH/RJ0biz09QzJUZp8R6lxkcqzuPisjGAkMH5mwDYIryBEO7q/aa+2l+qj7YUatGWQu06VNFku8gIhxKj3PKbpur9pur8DX/GRbp0Tka8BmTG65zMeA3ITFBmYhSXlAFYivM3AbBFeAPBbnYeLNOHW4q0OveICr3VKvJWq6y67tRP/J64SJcSoyOUEBWhTtFuXdA7RVdnZyojIaoNqgaAYJy/CYAtwhsIkKpq6nWwrFqlVbVyORxyOQ05HYZcDkMHy3zasr9UXxd4teWAV9uLyk74/caGIf2gd4quye6iCeemK8bjaudXAsAuOH8TAFuENxBweurq/SqpqlVpVa1KKmvlrarVvpIqLfzygNbuLg60czoaQqRpmvKbkt80FR3h1KCuiRraPVHZWZ2U3S2RBa0BnBHO3wTAFuENBLSe/OJKLdi4X+9t3K/dh5uea/h9PZKjNbR7Jw07tp2VGsf8QgCnxPmbANgivIGA1meapgq91TJNyWEYchiSYRg6UuHTxr0l2rj3qL7YW6KdB8uPe26cx6WMxEhFRTgVGeFUtNupKLdTcZ4IJURHKD7SpYSoCMVHRSgpxh20eVxOC14tACtw/iYAtghvIMA6pZW12ph/VF/saQiEG/ceVUVN/Rkfz+NyyO1yyO1s+DPC6VBqnEeDsxI15NjW+C0ptfV+HSzzqbC0WkfKfYpwOhTlbgic0W6nnA6HDpf7VOStVpHXp4Pearmchi4fmKFzMuJZMgewGOdvAmCL8AYCOo56v6kdB8tUXF6jqtp6VdbUq6q2XlU19Sqrbph36K2qa5h/WFWjoxW1Kq6s0dGKGtX5m/cxmBzjDoxGnuknZ//0OF07tIsmD+mitPjIJtv4/aZq6v3y1flVW9/wbS0Ow5DTMGQ4pAhHQ+AEcGY4fxMAW4Q3EBD6TNOUt7pO3qpa1db7VVtvqvZY+NpzpEI5+SX6Mr9EXxd4g+5gjnAaSo2LVOc4j+r9pipr6lRZ0xA8a+v9Son1BBbKTouLVKG3Sh9/fVA1gUAnZSVFq66+IezV1vtVW+c/9vdTfyxHRTiVHOtWSqxHKbFudY6LVNdOUeqSGKUux/5Mi49kTiTQBM7fBMAW4Q0E2Ed1bb22F5XJYRhKT4hUUrRbjtMMV6WVtfrXVwV674t9Wr/naBtV+i2Py6GeKTE6Ky1OfTrHqndqjFwOhyp8dSo/tlXX1ispxq2MhChlJkYqIyFKyTGn/9qAUML5mwDYIryBAJyp/OJKFXqrg+YcRjgNuV0OeVzOwHzECKchwzDk95vyH1sWp6beryPlPh0ur9Hhcl/DfMPSau0vqdb+kkrtL6lSQUl1sy9tf5/TYSjS5ZAnwimPyyGPy6G4yAhlJEQqM7FhdDEzMUoxHmfQN780jpz6autVXetXdW29fHV+GcaxS9jfWd6n3FevCl+dKnx1KvPVyVfnV+PpyDQlU6aSYjzqlxarvmlx6p8er66dok4aTP1+UwdKq3SwzKdIl1MxnoabgGLcLkVFOAm1COD8TQBsEd5AADqqer+pfUcrtfNgeWDLPdRw53RsZIRiPQ3BKDLCqcPlPh0orVZBSZUOlZ/5/Ma2FhXhVEZCpJJi3OoU41ZyjFsxHpf2H63S7sMVyjtSIV+dv8nnelwO9UmNVb+0OJ2VFqe+abFKi49URCCAG3I7G0JvVERDAG9LlTV1OlJeo7LqOnVPjmbh83bG+ZsA2CK8gQCEm9p6v4orauSr9au6rl6+Wr98dfUqqaxVQWmV9pdU60BJlfaXVMlXVy+nwyGnIbkcDjkdhjwRDkW6GkbeIiMaRjNN01S9aare3zBKJ0nRHqfiPC7FHNsiI5wyJDkckqGGkbpCb7W2FZZpW2GZdh4qV80Jwt13Nc7N9NX5VVVTp8ra+jMKtC6HoaiIhteRHJhn6VHnOI+Sot0NI7THRm7dTocMQ/LV+VVT5w/8We77dtHz0mMLoB8pr1FxRcONSo0MQ+qeFK2zM+J1dka8MhIiVVBarb3FldpbXKn84ko5DEPDe3TSyJ7JGtkrSb1SYmQYho5W1GhbUUMf7TpULqfDofgol+IjIwJLHnWKjlBidIQSo91KiIpQhNMh0/z2RiNfbcMobazHJY/L0ay71L3VtTpQUqXDZTWKcjeMEMd6XIqNdCnW7TrlaGu93wws8WQFzt8EwBbhDQQA7aOu3q+9xZU6VOZTcUWNjlQ03MFd5qtTRkKkeqbEqFdKrDITI+Vyfjt6Z5qmqmv9KvRWa3tRmXYUlWlbUbl2FJWptKpWNYEbbxpC2xleNT8jHpdD0W6njlbWnvZzO8d5ZEg6WOY7o99bU+9vMhhHOI1AmIuKcCrCZRybitDwNY+Hy2p0oKRKZb4Tfwe4YUixbpfioyIUF9kQRmVI3qqGb//xVjfMP3U5jMBIbqdotzrFRMg0G4K0r65hGoGvrl63j+yum0d0O+3XeTKcvyXGnAEAHZ7L6VCvzrHq1Tn2tJ5nGIai3E71TIlRz5QYjR+QfsK2pmmqtt4MLB9UVdswT/HwsfmWh8p8OlTmU0llTVBorK03ZcoMzOdsnMMZ62kIQQlREUo89mdSrFspMR4lx7oV7XbKMAwVV9Roa4FXXx/wamuBV0Vl1eqSGKVuSdHKSopWt6RoVdXUa83uYq3ddUQb80t06DvBr2unKPVPj1Of1DgZho4teVQb+LOkqlZHK2rkrW4IbSe6TC5JtfWmiisaRilPpVN0hFJiPfLV+VVWXauy6jrV+U2ZplR2bG7nydT5zUCfnkxBafUpa8Hps/0I4IsvvqgnnnhChYWFGjx4sJ5//nmNGDGiWc/lfxAAgPZWXVuvzftL5XAY6psWp9hmzh+s95sqrapVha9OnmOX5yMjGi5h+02poqZO5dV1KquuU1l1bcOl7GPLEzUuj5QU41ZmYsMd49Hu4N9rmqZ8dX55j4XBsmPLK5VV18lvmoFL0gnHRgZr6/06Ul6jo5UNgfNoRU3DNAKXM1CfJ8KhXikx6p4c06p9yPnb5gHw73//u6ZMmaKXX35ZI0eO1LPPPqt33nlH27ZtU2pq6imfzxsIAIDQw/lbatvbnDq4p59+WjNnztT06dN1zjnn6OWXX1Z0dLRee+01q0sDAABoM7YNgDU1NdqwYYPGjRsXeMzhcGjcuHFavXq1hZUBAAC0LdveBHL48GHV19crLS0t6PG0tDR98803TT7H5/PJ5/t2sqrX623TGgEAANqCbUcAz8TcuXOVkJAQ2LKysqwuCQAA4LTZNgCmpKTI6XSqqKgo6PGioiKlpze9TMDs2bNVWloa2PLz89ujVAAAgFZl2wDodrs1bNgwLVmyJPCY3+/XkiVLNGrUqCaf4/F4FB8fH7QBAACEGtvOAZSkBx98UFOnTtXw4cM1YsQIPfvss6qoqND06dOtLg0AAKDN2DoA3nTTTTp06JAeeeQRFRYWasiQIVq0aNFxN4YAAACEE1svBN1SLCQJAEDo4fxt4zmAAAAAdkUABAAAsBkCIAAAgM0QAAEAAGzG1ncBt1Tj/TN8JRwAAKGj8bxt5/tgCYAtUFZWJkl8JRwAACGorKxMCQkJVpdhCZaBaQG/368DBw4oLi5OhmG06rG9Xq+ysrKUn59v21vUm4u+aj76qvnoq+ajr5qPvmq+tuwr0zRVVlamzMxMORz2nA3HCGALOBwOde3atU1/B18513z0VfPRV81HXzUffdV89FXztVVf2XXkr5E9Yy8AAICNEQABAABshgDYQXk8Hv3617+Wx+OxupQOj75qPvqq+eir5qOvmo++aj76qm1xEwgAAIDNMAIIAABgMwRAAAAAmyEAAgAA2AwBEAAAwGYIgK1k5cqVmjRpkjIzM2UYhhYsWBC0f86cOerfv79iYmLUqVMnjRs3TmvXrg1qc9VVV6lbt26KjIxURkaG7rjjDh04cCCojWmaevLJJ9W3b195PB516dJFv/vd74LaLF++XEOHDpXH41GfPn00f/78tnjJZ6y9+urDDz/U+eefr7i4OHXu3FnXXXed8vLygtrYoa8a+Xw+DRkyRIZhKCcnJ2jfpk2bdNFFFykyMlJZWVn6wx/+cNzz33nnHfXv31+RkZEaOHCg/v3vf7fWy2w17dFfy5cv1+TJk5WRkaGYmBgNGTJEb7zxxnHP7+j91V7vrUY7d+5UXFycEhMTj9tHXzXg8z3YyfoqHD7frUYAbCUVFRUaPHiwXnzxxSb39+3bVy+88IK++uorffrpp+rRo4cuu+wyHTp0KNBm7Nixevvtt7Vt2za9++67ys3N1fXXXx90nJ/97Gf63//9Xz355JP65ptv9MEHH2jEiBGB/bt379YVV1yhsWPHKicnR/fff7/uuusuffjhh23zws9Ae/TV7t27NXnyZF1yySXKycnRhx9+qMOHD+vaa68NamOHvmr08MMPKzMz87jHvV6vLrvsMnXv3l0bNmzQE088oTlz5uiVV14JtFm1apVuueUWzZgxQxs3btTVV1+tq6++Wps3b269F9sK2qO/Vq1apUGDBundd9/Vpk2bNH36dE2ZMkULFy4MatPR+6s9+qpRbW2tbrnlFl100UXH7aOvvsXne7AT9VW4fL5bzkSrk2S+//77J21TWlpqSjI//vjjE7b5xz/+YRqGYdbU1JimaZpff/216XK5zG+++eaEz3n44YfNAQMGBD120003mePHj2/+C2hHbdVX77zzjulyucz6+vpAmw8++CCojZ366t///rfZv39/c8uWLaYkc+PGjYF9f/zjH81OnTqZPp8v8NisWbPMfv36BX6+8cYbzSuuuCLomCNHjjR/9KMfnfkLamNt1V9Nufzyy83p06cHfg61/mrrvnr44YfN22+/3Zw3b56ZkJAQtI++asDne/P7Khw/363ACKAFampq9MorryghIUGDBw9usk1xcbHeeOMNXXDBBYqIiJAk/fOf/1SvXr20cOFC9ezZUz169NBdd92l4uLiwPNWr16tcePGBR1r/PjxWr16ddu9oDZ0pn01bNgwORwOzZs3T/X19SotLdVf/vIXjRs3LtDGLn1VVFSkmTNn6i9/+Yuio6OPe97q1as1evRoud3uwGPjx4/Xtm3bdPTo0UCbcOor6cz7qymlpaVKSkoK/Bxu/dWSvlq6dKneeeedE44I0VcN+Hxvfl/Z8fO9LRAA29HChQsVGxuryMhIPfPMM1q8eLFSUlKC2syaNUsxMTFKTk7W3r179Y9//COwb9euXdqzZ4/eeecdvf7665o/f742bNgQdOmzsLBQaWlpQcdMS0uT1+tVVVVV277AVtTSvurZs6c++ugj/dd//Zc8Ho8SExO1b98+vf3224E2dugr0zQ1bdo03XPPPRo+fHiTzz9RPzTuO1mbxv2hpKX99X1vv/221q1bp+nTpwceC5f+amlfHTlyRNOmTdP8+fMVHx/fZBv6qgGf783vKzt9vrclAmA7apyLsGrVKk2YMEE33nijDh48GNTmoYce0saNG/XRRx/J6XRqypQpMo99WYvf75fP59Prr7+uiy66SGPGjNGrr76qZcuWadu2bVa8pDbT0r4qLCzUzJkzNXXqVK1bt04rVqyQ2+3W9ddfH2gTLk7WV88//7zKyso0e/Zsi6vsOFqzv5YtW6bp06frf/7nfzRgwIC2LNsSLe2rmTNn6tZbb9Xo0aPbq2TLtLSv+Hxvfl/Z6fO9TVl28TmMqRnzHkzTNPv06WP+93//9wn35+fnm5LMVatWmaZpmo888ojpcrmC2lRWVpqSzI8++sg0TdO86KKLzJ/97GdBbV577TUzPj7+9F5EO2mrvvrlL39pDh8+vMk2q1evNk3THn01efJk0+FwmE6nM7BJMp1OpzllyhTTNE3zjjvuMCdPnhx0jKVLl5qSzOLiYtM0TTMrK8t85plngto88sgj5qBBg1r8utpKW/VXo+XLl5sxMTHmn/70p+OOGWr91VZ9lZCQELTf4XAE2rz66qumadJXjX3F53vz+yocP9+twAighRr/x3ey/ZICbX7wgx+orq5Oubm5gTbbt2+XJHXv3l2SNGrUKC1ZsiToOIsXL9aoUaNatfb2drp9VVlZKYcj+O3tdDqD2tqhr5577jl9+eWXysnJUU5OTmB5jb///e+B5SVGjRqllStXqra2NnCMxYsXq1+/furUqVOgTTj2lXT6/SU1LC9xxRVX6Pe//73uvvvu444Zrv11un21evXqwP6cnBw99thjiouLU05Ojq655hpJ9FVjX/H53vy+svPne6uyOoGGi7KyMnPjxo3mxo0bTUnm008/bW7cuNHcs2ePWV5ebs6ePdtcvXq1mZeXZ65fv96cPn266fF4zM2bN5umaZpr1qwxn3/+eXPjxo1mXl6euWTJEvOCCy4we/fubVZXV5umaZr19fXm0KFDzdGjR5tffPGFuX79enPkyJHmD3/4w0Adu3btMqOjo82HHnrI3Lp1q/niiy+aTqfTXLRokSX90pT26KslS5aYhmGYjz76qLl9+3Zzw4YN5vjx483u3bublZWVpmnao6++b/fu3cfdUVdSUmKmpaWZd9xxh7l582bzrbfeMqOjo4NGtj777DPT5XKZTz75pLl161bz17/+tRkREWF+9dVXbd0Fp6U9+mvp0qVmdHS0OXv2bLOgoCCwHTlyJNAmFPqrPfrq+5q6C5i+asDne/P7Klw+361GAGwly5YtMyUdt02dOtWsqqoyr7nmGjMzM9N0u91mRkaGedVVV5mff/554PmbNm0yx44dayYlJZkej8fs0aOHec8995j79u0L+j379+83r732WjM2NtZMS0szp02bFnTiaaxlyJAhptvtNnv16mXOmzevPbqg2dqrr958800zOzvbjImJMTt37mxeddVV5tatW4+rJZz76vtOdJL+8ssvzQsvvND0eDxmly5dzMcff/y457799ttm3759TbfbbQ4YMMD817/+1dovt8Xao7+mTp3a5O+4+OKLg57b0furvd5b39VUADRN+qoRn+/HO1FfhcPnu9UM02TGJAAAgJ0wBxAAAMBmCIAAAAA2QwAEAACwGQIgAACAzRAAAQAAbIYACAAAYDMEQAAAAJshAAJAO6mpqVGfPn20atUqS+tYtGiRhgwZEvjaLAD2QwAEcEamTZsmwzCO23bu3Gl1aR3Wyy+/rJ49e+qCCy4IPNbYb2vWrAlq6/P5lJycLMMwtHz58qD2CxYsOO7Y06ZN09VXX92sOiZMmKCIiAi98cYbZ/IyAIQBAiCAMzZhwgQVFBQEbT179jyuXU1NjQXVdSymaeqFF17QjBkzjtuXlZWlefPmBT32/vvvKzY2ts3qmTZtmp577rk2Oz6Ajo0ACOCMeTwepaenB21Op1NjxozRfffdp/vvv18pKSkaP368JGnz5s2aOHGiYmNjlZaWpjvuuEOHDx8OHK+iokJTpkxRbGysMjIy9NRTT2nMmDG6//77A22aGgFLTEzU/PnzAz/n5+frxhtvVGJiopKSkjR58mTl5eUF9jeOlj355JPKyMhQcnKy7r33XtXW1gba+Hw+zZo1S1lZWfJ4POrTp49effVVmaapPn366MknnwyqIScn56QjoBs2bFBubq6uuOKK4/ZNnTpVb731lqqqqgKPvfbaa5o6deoJ+/5k8vLymhydHTNmTKDNpEmTtH79euXm5p7R7wAQ2giAANrEn//8Z7ndbn322Wd6+eWXVVJSoksuuUTZ2dlav369Fi1apKKiIt14442B5zz00ENasWKF/vGPf+ijjz7S8uXL9cUXX5zW762trdX48eMVFxenTz75RJ999pliY2M1YcKEoJHIZcuWKTc3V8uWLdOf//xnzZ8/PyhETpkyRW+++aaee+45bd26VX/6058UGxsrwzB05513HjdiN2/ePI0ePVp9+vRpsq5PPvlEffv2VVxc3HH7hg0bph49eujdd9+VJO3du1crV67UHXfccVqvvVFWVlbQqOzGjRuVnJys0aNHB9p069ZNaWlp+uSTT87odwAIcSYAnIGpU6eaTqfTjImJCWzXX3+9aZqmefHFF5vZ2dlB7X/zm9+Yl112WdBj+fn5piRz27ZtZllZmel2u8233347sP/IkSNmVFSU+bOf/SzwmCTz/fffDzpOQkKCOW/ePNM0TfMvf/mL2a9fP9Pv9wf2+3w+Myoqyvzwww8DtXfv3t2sq6sLtLnhhhvMm266yTRN09y2bZspyVy8eHGTr33//v2m0+k0165da5qmadbU1JgpKSnm/PnzT9hfP/vZz8xLLrnkuMcbX8+zzz5rjh071jRN03z00UfNa665xjx69KgpyVy2bFlQ+8jIyKB+j4mJMV0ulzl58uTjjl9VVWWOHDnSvPLKK836+vqgfdnZ2eacOXNOWDOA8OWyMnwCCG1jx47VSy+9FPg5JiYm8Pdhw4YFtf3yyy+1bNmyJue15ebmqqqqSjU1NRo5cmTg8aSkJPXr1++0avryyy+1c+fO40baqqurgy53DhgwQE6nM/BzRkaGvvrqK0kNl3OdTqcuvvjiJn9HZmamrrjiCr322msaMWKE/vnPf8rn8+mGG244YV1VVVWKjIw84f7bb79d//mf/6ldu3Zp/vz5J52f98wzz2jcuHFBj82aNUv19fXHtb3zzjtVVlamxYsXy+EIvugTFRWlysrKE/4eAOGLAAjgjMXExJzwkud3w6AklZeXa9KkSfr9739/XNuMjIxm3z1sGIZM0wx67Ltz98rLyzVs2LAm73Dt3Llz4O8RERHHHbdxWZSoqKhT1nHXXXfpjjvu0DPPPKN58+bppptuUnR09Anbp6SkBAJmU5KTk3XllVdqxowZqq6u1sSJE1VWVtZk2/T09OP6PS4uTiUlJUGP/fa3v9WHH36ozz//vMlLz8XFxUF9AsA+mAMIoF0MHTpUW7ZsUY8ePdSnT5+gLSYmRr1791ZERITWrl0beM7Ro0e1ffv2oON07txZBQUFgZ937NgRNIo1dOhQ7dixQ6mpqcf9noSEhGbVOnDgQPn9fq1YseKEbS6//HLFxMTopZde0qJFi3TnnXee9JjZ2dn65ptvjguv33XnnXdq+fLlmjJlStDo5Jl499139dhjj+ntt99W7969j9vfOCKanZ3dot8DIDQRAAG0i3vvvVfFxcW65ZZbtG7dOuXm5urDDz/U9OnTVV9fr9jYWM2YMUMPPfSQli5dqs2bN2vatGnHXba85JJL9MILL2jjxo1av3697rnnnqDRvNtuu00pKSmaPHmyPvnkE+3evVvLly/XT3/6U+3bt69Ztfbo0UNTp07VnXfeqQULFgSO8fbbbwfaOJ1OTZs2TbNnz9ZZZ52lUaNGnfSYY8eOVXl5ubZs2XLCNhMmTNChQ4f02GOPNavOE9m8ebOmTJmiWbNmacCAASosLFRhYaGKi4sDbdasWSOPx3PKugGEJwIggHaRmZmpzz77TPX19brssss0cOBA3X///UpMTAyEvCeeeEIXXXSRJk2apHHjxunCCy88bi7hU089paysLF100UW69dZb9Ytf/CLo0mt0dLRWrlypbt266dprr9XZZ58duKwaHx/f7HpfeuklXX/99fqP//gP9e/fXzNnzlRFRUVQmxkzZqimpkbTp08/5fGSk5N1zTXXnHTxZcMwlJKSIrfb3ew6m7J+/XpVVlbqt7/9rTIyMgLbtddeG2jz5ptv6rbbbjvpZWsA4cswT3Y9AgAsNmbMGA0ZMkTPPvus1aUc55NPPtGll16q/Px8paWlnbL9pk2b9MMf/lC5ubltusjzqRw+fFj9+vXT+vXrm1y4G0D4YwQQAE6Tz+fTvn37NGfOHN1www3NCn+SNGjQIP3+97/X7t2727jCk8vLy9Mf//hHwh9gY9wFDACn6c0339SMGTM0ZMgQvf7666f13GnTprVNUadh+PDhGj58uNVlALAQl4ABAABshkvAAAAANkMABAAAsBkCIAAAgM0QAAEAAGyGAAgAAGAzBEAAAACbIQACAADYDAEQAADAZgiAAAAANvP/A/jCBB/ZqbDmAAAAAElFTkSuQmCC",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_list = np.linspace(13360,13480,95)\n",
    "exp.freq_scan(\"Doppler\", freq_list, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8d91d54b-9734-496b-ae9c-cd91af436e24",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202207\\20220727\\FreqScan-20220727110441.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b44a0f0361ae40f8aa1d716d9b12a05b",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC4hklEQVR4nO29eZwU9Z3//6q+5x6YgQHkEhEUIqAkElhPxCsG0WyicY2gMW7irt9E/cVEdrOJujGazaFmNZjd9Uo2RjEuiYlRoihqFBAQFC8UZOSQa2aYs+/u+v3R/fnUp6qruqu6q7urpt/Px2MeMNM9NVXVdbzqfbzekizLMgiCIAiCIIiawVPtFSAIgiAIgiAqCwlAgiAIgiCIGoMEIEEQBEEQRI1BApAgCIIgCKLGIAFIEARBEARRY5AAJAiCIAiCqDFIABIEQRAEQdQYJAAJgiAIgiBqDBKABEEQBEEQNQYJQIIgCIIgiBqDBCBBEARBEESNQQKQIAiCIAiixiABSBAEQRAEUWOQACQIgiAIgqgxSAASBEEQBEHUGCQACYIgCIIgagwSgARBEARBEDUGCUCCIAiCIIgagwQgQRAEQRBEjUECkCAIgiAIosYgAUgQBEEQBFFjkAAkCIIgCIKoMUgAEgRBEARB1BgkAAmCIAiCIGoMEoAEQRAEQRA1BglAgiAIgiCIGoMEIEEQBEEQRI1BApAgCIIgCKLGIAFIEARBEARRY5AAJAiCIAiCqDFIABIEQRAEQdQYJAAJgiAIgiBqDBKABEEQBEEQNQYJQIIgCIIgiBqDBCBBEARBEESNQQKQIAiCIAiixiABSBAEQRAEUWOQACQIgiAIgqgxSAASBEEQBEHUGCQACYIgCIIgagwSgARBEARBEDUGCUCCIAiCIIgagwQgQRAEQRBEjUECkCAIgiAIosYgAUgQBEEQBFFjkAAkCIIgCIKoMUgAEgRBEARB1BgkAAmCIAiCIGoMEoAEQRAEQRA1BglAgiAIgiCIGoMEIEEQBEEQRI1BApAgCIIgCKLGIAFIEARBEARRY5AAJAiCIAiCqDFIABIEQRAEQdQYJAAJgiAIgiBqDF+1V8DNpNNpfPLJJ2hqaoIkSdVeHYIgCIIgTCDLMgYGBjBu3Dh4PLUZCyMBWAKffPIJJkyYUO3VIAiCIAiiCPbs2YPx48dXezWqAgnAEmhqagKQOYCam5urvDYEQRAEQZihv78fEyZM4PfxWoQEYAmwtG9zczMJQIIgCIJwGbVcvlWbiW+CIAiCIIgahgQgQRAEQRBEjUECkCAIgiAIosYgAUgQBEEQBFFjkAAkCIIgCIKoMUgAEgRBEARB1BgkAAmCIAiCIGoMEoAEQRAEQRA1BglAgiAIgiCIGoMEIEEQBEEQRI1BApAgCIIgCKLGIAFIEARBEARRY5AAJAiCICzzm3WdWLVlb7VXgyCIIvFVewUIgiAId3FkKI5/++M7CPg8uGjOUZAkqdqrRBCERSgCSBAEQVhiIJoEAMSTacRT6SqvDUEQxUACkCAIgrBEJJHi/0+k5CquCUEQxUICkCAIgrBEVBCA8SRFAAnCjZAAJAiCICwRIQFIEK6HBCBBEARhCRKABOF+SAASBEEQlojGBQFITSAE4UpIABIEQRCWoAggQbgfEoAEQRCEJVQCkCKABOFKSAASBEEQlojEKQJIEG6HBCBBEARhiZgg+kgAEoQ7IQFIEARBWEKMACYoBUwQroQEIEEQRJH0RxO4/6Wd2NMTrvaqVBSxBjBGEUCCcCUkAAmCIIrkj1v24c5n3sd9L+6o9qpUFGoCIQj3QwKQIAiiSLqH4gCAg/3RKq9JZYlSE0hFeXVHF1Zt2Vvt1SCGGb5qrwBBEIRbYbVwvZFEldeksogRQKoBLD/femwrugZjWHBMOzqaQ9VeHWKYQBFAgiCIIglnBWBfjQnAKBlBV5TecCbSfCT7L0HYAQlAgiCIIuECMFxbApAmgVSOdFpGMi0DAKIJ2teEfZAAJAiCKJJIIgkgkwKWZbnKa1M5IoIQoSaQ8iLuX9F+hyBKxRUCcMWKFZg1axaam5vR3NyM+fPn45lnnuGv79y5ExdffDFGjRqF5uZmXHLJJTh48GDB5d53332YPHkyQqEQ5s2bh9dff72cm0EQxDCDRQBTaRlDNXRzFptAyAamvMQEsR1N1s4xRpQfVwjA8ePH484778TmzZuxadMmLFy4EEuWLME777yDoaEhnHPOOZAkCS+88AJeffVVxONxLF68GOm08YXp8ccfx4033ogf/OAHeOONNzB79myce+65OHToUAW3jCAINxMWhFBvDdVnURNI5YillH0draGHDKL8uKILePHixarvb7/9dqxYsQLr16/Hvn370NnZiS1btqC5uRkA8Mgjj2DEiBF44YUXsGjRIt1l/vznP8c111yDq666CgBw//334+mnn8aDDz6Im2++ubwbRBDEsCCiEoAJjB9RxZWpIFQDWDkoAkiUC1dEAEVSqRQee+wxDA0NYf78+YjFYpAkCcFgkL8nFArB4/Hgb3/7m+4y4vE4Nm/erBKHHo8HixYtwrp168q+DQRBDA/C8ST/fy11ApMPYOVQ1wDSvibswzUCcNu2bWhsbEQwGMQ3vvENrFq1CjNmzMBnP/tZNDQ04Lvf/S7C4TCGhobw7W9/G6lUCvv379ddVldXF1KpFDo6OlQ/7+jowIEDBwzXIRaLob+/X/VFEETtIkYAa0oAJkkAVgpVBDBBEUDCPlwjAKdPn46tW7diw4YNuPbaa7Fs2TK8++67GDVqFJ544gn86U9/QmNjI1paWtDb24uTTjoJHo+9m3fHHXegpaWFf02YMMHW5RME4S7CCXUKuBZIpNJIpGTV90T5UEUASQASNuKKGkAACAQCmDp1KgBg7ty52LhxI+655x786le/wjnnnIOdO3eiq6sLPp8Pra2tGDNmDKZMmaK7rPb2dni93pxO4YMHD2LMmDGG67B8+XLceOON/Pv+/n4SgQRRw6iaQCK10QSijULFSACWlZiwvykCSNiJayKAWtLpNGKxmOpn7e3taG1txQsvvIBDhw7hwgsv1P3dQCCAuXPnYs2aNarlrVmzBvPnzzf8m8FgkFvRsC+CIGqTVFpWpT9rJQWsjUJRCri8iBFAEoCEnbgiArh8+XKcf/75mDhxIgYGBvDoo49i7dq1WL16NQDgoYcewvHHH49Ro0Zh3bp1+Na3voUbbrgB06dP58s466yzcPHFF+O6664DANx4441YtmwZPv3pT+Pkk0/G3XffjaGhId4VTAxP1rx3EB3NIXzqqJZqrwrhcsQGEKB2poFENY0IJADLi7h/KQVM2IkrBOChQ4ewdOlS7N+/Hy0tLZg1axZWr16Ns88+GwCwfft2LF++HD09PZg8eTL+9V//FTfccINqGSxFzLj00ktx+PBhfP/738eBAwcwZ84cPPvsszmNIcTw4UBfFFc/sgnjR9Thb99dWO3VIVyOdipDrdQAUgSwsohG2zQKjrATVwjABx54IO/rd955J+6888687+ns7Mz52XXXXccjgsTwp2swUzJwZKg2arWI8hLWCMBaSQFr05DUBFJeKAJIlAvX1gAShFViWesKsYORIIpFKwB7a0QA5kQASQCWlZhguRMjAUjYCAlAomZg6ZN4Kg1ZJhFIlEYkoa0BrI3IMqWAKwtFAIlyQQKQqBnE1FUyTQKQKA0WAazzewHUUAo4u92SlPmeBGB5oRpAolyQACRqBvHiSXVLRKkwATi2JQQAGIqnakIMsShUYzBTQk4p4PIiCkBt4xFBlAIJQKJmECOAiSRFAInSYDfjjuYQj4bVQhSQCcCWOj8AigCWG3H/iiP4CKJUSAASNYNqfilFLYgSYRHAhqAPzaGMGOqrgWkgTPiybaZzqbyoUsAUASRshAQgUTOIKeBkmm5aRGkwI+j6gJdHw2ohAsgECUUAK4M6Akj7mrAPEoBEzUApYMJOWCSsPuBFa31GDNWCGTTbbhKAlUG0gaEaQMJOSAASNYPooUVpK6JUwtnjqU6IANaEANTUACbTMtLUVV82tDWAZGFF2AUJQKJmENMn1AVMlIoYAaylFDATgM11yiApeqAqH2INoCyrvyeIUiABSNQMqhQw3bCIElFqAH1KCrgGBGBU0wQCkAAsJ9oUu3YUH0EUCwlAomYgAUjYiWgE3VoXAFAb00CUCKAgAB0UlToyFMfa7YeGTVo6prF+ITNowi5IABI1g3jhjFMTCFEitZoCZg9S9QEv/N6MAaKTHqj+/el3ceVDG/HSB4ervSq2oI2u0jg4wi58hd9CEMMDigASdsIjgAEvPJ6MEKqFFHBEaH4JeD1IpJw1AeVgfxQAsLc3UuU1sQdKARPlgiKARM1ATSCEnYR5JMyH1prqAs6cO3V+LwK+zC3ESQKQWTyFY8kqr4k9aJs+KAJI2AVFAImagSKAhJ1EBCNoXzYC2F8DEUDWBBLye+H3ZgSgkzpTY9lze2iYeOZRBJAoFyQAiZohphKAVANIlIaYAm4IZC6ltZQCDokRQAc9UCWygokJdLejFdckAAm7oBQwUTOITSAUASRKRX8SSHzYdJ8awWsABQGYcFAEMDFMI4Ahf2ZfUxcwYRckAImaIZqkFDBhHywCWO/38S7gtAwMDpPIkxHRuLoJBHBYBDC7LsOnBlA9eYXGwRF2QQKQqBnEC2ecUsBECaTTsqobNuT3IpiNhvUN80YQ9iDl2CaQ7LkdHiZCiaWAmfF2NDk8touoPiQAiZpB1QTioBsW4T7Em3B9wAsAPA08nL0AE6k0F1h1fiEC6KDziQmm4SYAKQJI2A0JQKJmIBsYwi5EcVHnzwrA7DSQ4WwFIz5EBf0eZzaB8BpA96eAZVnm4poJQCd1XBPuhgQgUROk07IqSkECkCiFCLdC8XAT6FqYBsLS3pIEBH0eh6aAWQ2g+yNloltBSz1FAAl7IQFI1ATap2aqASRKgTeABBQnLXaD7o0M33nA0bhiAi1JkrObQBLujwCKc4DZAwbZwBB2QQKQqAm0F02KABKlEM6mF1n6F0BNTAMRLWAAwO+wCGA6LStNIMMgAijuV9YEQpNACLsgAUjUBNrOOWoCIUpB9ABksAjNcJ4GEhVMoAEg6LAmkERaWY/hUAPIMhcBrwd12WONBCBhFyQAiZpAa56aHOZmvUR5CesIQMUMevgKQNH6BoBiBO2QiLpYMxdNpJFy+XnOhHXQ5+FR1xgZQRM2QQKQqAm0KWAn1SwR7iOsEUIA0FKf7QIexjWAyhi4zK3DaU0g2si+26NlPALo8/B97vZtIpwDCUCiJsipAXTIDYtwJ2zOrNgEUgs1gHwKSDYaxZpAYg55oNI+2Ll9GkhcJQAz+5yaQAi7IAFI1ATaFLBTUlaEOwnHdSKANWQDE3JoE4h2Pdw+D5h1AQcFAUgRQMIuSAASNUFOEwjZwBAloMwBzq0BrAUBqI0AOkUAah/shoZRBLCORwCdsa8J90MCkKgJYlQDSNiIXhdwbUwCyfoAuqAJBHB/tIyl1oM+L6WACdshAUjUBJQCJuxESQELRtB1ik9bLDk8b9JRTQQw6LAU8HCLALKOX3UEcHgeW0TlIQFI1ARkBE3YSSTBmkCUCGBTyAcpMxVu2KaBlRF42RpAh00C0U78Cbu8BjCeUmxgqAuYsBsSgERNwARgdmwrEkmqASSKR88H0OORlEaQYZoG1jaBOM4GRtsF7HIByEpXqAuYKAckAImaIJq9QTVlxyk5JWJBuBO9LmBg+HcCGzaBOKSpKlcAujsFzK5T4iSQaCINWXbG/ibcDQlAoiZgT81NoUzNVjJNApAoHr0mEGD4ewFyH8CA1gjaGVGp3BpAZ6xXsbAawKBfaQIBclPdBFEMJACJmoA1gbAIIKWAiVJgkaU6v0/1c2UayPAUgDkRQIelgLXrMZwigCGfcruOuDy1TTgDEoBETcAjgMHMDZuaQIhS0KsBBIZ/CjiqrQF0WBOINhXt/hpAFgH0wOf1wO/NFDFrfU0JohhcIQBXrFiBWbNmobm5Gc3NzZg/fz6eeeYZ/vqBAwdwxRVXYMyYMWhoaMBJJ52EJ598Mu8yb7nlFkiSpPo67rjjyr0pRJVgthwsBeyUGxbhTlgkzCgF3BcenvOAI5oZyE6LAGpHPLo/AphtAskKbT4NxOXClnAGvsJvqT7jx4/HnXfeiWOPPRayLOORRx7BkiVLsGXLFsycORNLly5Fb28vnnrqKbS3t+PRRx/FJZdcgk2bNuHEE080XO7MmTPx/PPP8+99PlfsDqIIlBQwRQCJ0jFqAmHTQIZvCjhz3oR8WiNoZ5RUDLcaQCasg35FAA5EkzQNhLAFV0QAFy9ejM997nM49thjMW3aNNx+++1obGzE+vXrAQCvvfYa/t//+384+eSTMWXKFHzve99Da2srNm/enHe5Pp8PY8aM4V/t7e2V2ByiCihNINkaQIfcsAh3ojSBaGoAa6YJxJmj4LSRfbdHAFmzRzC7n+toHjBhI64QgCKpVAqPPfYYhoaGMH/+fADAggUL8Pjjj6OnpwfpdBqPPfYYotEozjjjjLzL+vDDDzFu3DhMmTIFl19+OXbv3l2BLSCqgbYLWJsqIgizyLLMhUWt1QAa+QA6pSuVCVHm9+n2GkAlApjZ38wMmrwACTtwTc5z27ZtmD9/PqLRKBobG7Fq1SrMmDEDALBy5UpceumlaGtrg8/nQ319PVatWoWpU6caLm/evHl4+OGHMX36dOzfvx+33norTj31VLz99ttoamrS/Z1YLIZYLMa/7+/vt3cjibKh7QKmGkCiWGLJNNLZAHJuCri2uoD5JBCHNCWwyH5LnR9HwgkMuVwAMmEd0EQASQASduAaATh9+nRs3boVfX19+P3vf49ly5bhpZdewowZM/Bv//Zv6O3txfPPP4/29nb84Q9/wCWXXIJXXnkFJ5xwgu7yzj//fP7/WbNmYd68eZg0aRJWrlyJq6++Wvd37rjjDtx6661l2T6ivEQ1TSBUA0gUi1iAX+/XrwEcrk0gUU0TSNChNYCt9QEcCScQdvksYBYBZJHWIKWACRtxjQAMBAI8ojd37lxs3LgR99xzD77zne/g3nvvxdtvv42ZM2cCAGbPno1XXnkF9913H+6//35Ty29tbcW0adOwY8cOw/csX74cN954I/++v78fEyZMKGGriErBbtpMAKZlIJWW4WW5IoIwSTihdGb6vOoqmuGeAo4a+QA65IGKCUD2Obg9BczcC5jQViKAztjfhLtxXQ0gI51OIxaLIRwOAwA8HvWmeL1epC1MexgcHMTOnTsxduxYw/cEg0FuRcO+CHfAUinN2RQwQFFAojgizARak/4FBBuYSALptDOiYnaRSKV5pI/VorHUZCotI+WA7WURMxaJHS5NIExos/1OEUDCDlwhAJcvX46XX34ZnZ2d2LZtG5YvX461a9fi8ssvx3HHHYepU6fi61//Ol5//XXs3LkTP/vZz/Dcc8/hoosu4ss466yzcO+99/Lvv/3tb+Oll15CZ2cnXnvtNVx88cXwer247LLLqrCFRLnRNoEAJACJ4jAygQaA5qwATMvAgMvTj1rEujPWBOIXplM4oROYRSKZEB8uNYDBrO0OiwDGSAASNuCKFPChQ4ewdOlS7N+/Hy0tLZg1axZWr16Ns88+GwDwl7/8BTfffDMWL16MwcFBTJ06FY888gg+97nP8WXs3LkTXV1d/Pu9e/fisssuQ3d3N0aNGoVTTjkF69evx6hRoyq+fUT50drAAM6pWyLchZEHIJARRiG/B9FEGv2RBE9FDgdY1EmSlJRkwKsWgHr7pJKINYBAZp2SqXROqt4taGsA2f4lI2jCDlwhAB944IG8rx977LEFJ390dnaqvn/sscdKXS3CRbCamTq/Fz6PhGRapgggURSRPBFAAGitC+BAIorecAITRlZyzcpLNK6cQ5KUqZ1lo8kAZ9QBshnfovAOJ1JodrkAZIKbRQJpFBxhB+48KwjCArIs8wtmyO8RrCuqf8Mi3AdPAfv1n5+VaSBKJ/BQLOn6qI3WAgYAJElyVCMIW4eGYOZBDwDCLp4GwppAciOA1d/XhPtxRQSQIEohnkpDzmZ7g34v/F4JkQTVABLFEc7TBAIodYB/2PIJntr6Cd7c24sPDw2izu/FSzediVFNwYqtq51ENSbQjKDXg3gy7YgHKiYAA14P6gNe9EeTGHJxIwjbHhYBDFEEkLAREoDEsEe0TAj5PY6bX0q4CxYJM04BZwTgk2/sVf08HE/hw0MDrhWAyhQQdeLI7/MAMWdE1BO8Zs6L+oAP/dGkuyOACW0NYHYSiMujyYQzIAFIDHtiQvF6wKukgCkCSBRDviYQAPjCSUfhg4MDmDCyHnMmtGL2+Fb8ZPV2bD844Oo0cCShv90BB51PbB38Xgn1wcx6utkKJicC6KcIIGEfJACJYQ+LAIZ8meJ1XgPogBtWNUmk0kil5ZyUHpGffDYwAHDep8bivE+p/UT/528fqX7XjbCoU53meHHSPGCeAvZ50BDI3N7cvM9ZBJA1f7Bz1c0PEoRzoCYQwpB0Wh4WMyfFBhAA8GU7FxMOuGFVk4t/+SrO+tlLjkjduQlmBF0fMP/8zN7r5ht3xKAGkDeBOOA4Yl3A/mwNIIBhUQMY0EYAaRIIYQMkAAlDrnx4Ixbc+QK2Hxio9qqUhLZ4naWskg6YXFAtYskU3t7Xj329EXQPxaq9Oq4ibBAJywdLm7o5HanXBQwo55NRRL2SojfOU8CKAHRrBDCZjdADuaPgaBIIYQckAAlDNu7qQc9QHF//zSZXzzblKWA2vYBSwBgSCuPdHJWqBoV8APVgN+6wi2/c3EtTs93+PBHA5949iE/dshq/e313+VcQSg1gwOdBfTCbAnbpRBbx+qQdBTccMjNE9SEBSOgST6b5U2ZndxjXP7bFtbNN2cWSPUX7KQWMIeGm6NYISbUoVAOoR/0wmODAI+m+XBsYQL8J5I3dR5BKy3h9V0/5VxCKCPV7JTTwFLA797koqFmUtY6ngN25TYSzIAFI6NIfVSJ+QZ8HL24/jLuf/6CKa1Q82hSw0gXsTkFrB4OCAKzkzSSeTEOW3b3fw7wb1nwN4HAY4RUx6H7OVwPIHjR6huI5r5WDhMoHkDWBuDMCyJpqvB6Jj7ILUQqYsBESgIQu/dmUb1PIhzv//gQAwC9e2IG/vnOgmqtVFNEkSwFn55f6nGNbUS3ECGClbiaHB2I4+UfP4//9bktF/l65UJpALEQAs1ND3JwCLqYJZDCa2VdHwpUSgLlNIG6NcGvHwAHUBELYCwlAQpf+7IW7OeTHxSeOx5ULJgMAblz5JnYcGqzimlnHKAJY0zWA8crXAL66owu94QQ2f3ykIn+vXBTyAdRjOKSAjZpAWElFTOd8GqxwBFBlA8NrAN25z7Vj4AAhkuziBwnCOZAAJHRhTR9srNW/XnA8Tj56JAZjSfx/K7dWcc2sE9PULvEawFoWgFWIAL65txeAM/ziSoE3gdRYFzD3AQyobxuB7HmlV1PLLFiOVDgFPBxsYNh5wur/ACAkRFvdWpNNOAcSgIQuLAXcUpd5ivZ7PbjzC5lU8Lv7+6u2XsWgdAGzJpBsCtjlQqQUxBrASkWl3trbB0AR5G5FaQKx4gPo7nQkUJwNzGA2+jYUT1Wk1jQuiCa3G0EzARj050YAAZoGQpQOCUBCF9YE0hzy85+NqA8AyNTZpFz09GnkA1jLTSCVjgAmU2m880lGAEZdLrxZFK/WUsDa84hhpgkEAHrD5beS4hFAn+T6qGtcNwIoCECqAyRKhAQgoYs2BQyoa1Gc4PpvFmUSSObiySaB1HQNYIUF4AcHB/kNK5WWkXTxvmf7y5IPoMujUYBxE0jQpAAsdx2gLMuqJpCGoLujrjwCKIg+j0fi12GqAyRKhQQgoUt/RGkCYYjdaDEXpR+MjKCTNRwBHKywEfRb2fo/hlvrABOpNBcZRfkAuvimHWFG0AZNIPopYEUAlrsTWIzoB3yKDcyQW42gk0pDiwirAyQvQKJUSAASurAUcIsQAfR5PfB6shd7F93AldSVpgbQxVGoUhmqcA3gm9n6P4ZbBaAYTbKSAuaTQFyajgTEJhBzKWBZlisaAVRNzhBqAN2adtezgQGGh6ck4QxIABK69PMUsLrQnV2M3HQD10YAyQdQ3RlZiajUm3t6Vd+7NXrBbrpej6SqzSpE3TBqAsmpAfRmvtdGACOJFMRS4bJHAIVrkt/r4fvcrZNA9GxgAGX/uykLQzgTEoCELrwGUEgBA6IAdM/Fh9cAakbBUQ1ghnILwGgihe0HBwAAUmbXu+oBQoRF8Or9XkhsY0wwHJpADLuADSKAg5rUa7kjgOyBziNlBLpSA+jOqKthBJBNA4m78xwinAMJQEIXZgQtpoABpSDZTR1oMcNRcO7ZBrsZqmAN4Duf9COVltHeGEBbQ6aT3E0PECLFmEADyiSQZFp27XEXTVhLAQ9pDJjL7QUomkADik1PIiW7qmSFodcEAgBBmgdM2AQJQEKXAZ0uYEC5uLopgqNNXSk+gLXcBFK5CCBrAJk1vtWVDxAixXQAA2rR5NY0sLaWlhEwMFbXNl/0lNkGhok8dn6Ln5EbI69GTSB1fuoCJuyBBCChS1/BGkD3XHy0RtABigBWtAmEGUDPGt/CTW3dagatRADNm0ADmZu4L9tA5UYxInY/F5sCLncEkK0fO7/9Xg//vxungbBrrGEK2KXnEOEcSAASOciyrGsEDSiu9G5KqbDIRZBHAKkGsJI1gGwE3OwJrdzI1k0RZJEIqwG0GAEEih8HJ8vVj1SL6UZDI+hCEcAK1QD6heacehfXARrawLAmEBKARImQACRyiCaUp32jGkA33cB56srHjKApAlipUXD90QQ+OjwEAJg9vpU/QLi1fkkZA2ddABYzDu71XT046d+fw5Ob91r+e3bCHhIkKTcixbqAtdcEdow1BTPR0nJ3AWtrAAFwKxhtPaIbiBVqAnHpOUQ4BxKARA4s+uf1SDk3OnfbwGhTwNWPrFQDWZZVIqScN5K3s+nf8SPqMLIh4MrjR4SngP3FCMCsL52F/f3Kh4dxJJzAs+8csPz37CQaV0ygtd3PPKJu0AQyfmQ9gEwEsJzRzASvAVTWz832OzGDCKDSBOLOc4hwDiQAiRwUCxhfzsWeN4G46OkzphkF5/fpF63XCrFkGknBoK2c0ThmAD17fCsA0cPMnfs+UkIEUDGDNr+/uwYzUbM9PWHLf89OmJWSnvA18tUcjGWuIxNG1AHIfOblfNiI66SAG1w8D5htj7YLmCKAhF2QACRy6DfoAAbcHgEkGxggtzarnNERpQO4BYBy/Lg9BWy1CSTzO8y/zbwY6R6MAQB294SrWgvIhK+2/g/I1wSS+Z3RzUH+nnLWASZ0UsB8HJwbI4AJoxpAd59DhHMgAUjkoDcGjuHqGsCcUXC1mQLW1kNFEqmyiQulA7gVgDuPH5FwovgmkGJqAJlgCsdT6LYgntJpGZf8ah2ufnijLZ9txMACBlBEvVETSEPQh5H1Gf/HI0Pls4KJZ22dVBHAoHXR7RR4TaNXvwaQBCBRKiQAiRyMpoAAwsXeJTfwZEpJd7ImkFq3gWHF+exGIsvlEWRdgzHs641AkoATshFAJiDcZCMkUukUsCj6dltIAx8ejOH1XT1Y8/4hW1KFEQMTaEAYBZdTA6g0gYzIGoD3lLERJKEjmOrc3ATC3Qv0u4CpBpAoFRKARA79kcyFW+sBCCgXI7fcwKPCTUmbAnaLiLUb5onW3hTgPytHNIGlf48Z1YjGbCcojwC69OZV7CQQQBGNVvZ1VzYFDFirAxS7vNkDXSlE8zS/GNXUDooRwIbMw2Q5vQC5EbRveNUAaiOAoWEwVpBwBiQAiRxYDeBwSAGLN9ugZhZwrUcAm0N+fnMpRx3g1j2KATSD1wC65AFCC48AFtEFzKJRZvd1LJnCQFQRLru7LQhA4fd6bZjAoZ2mI8KOIe01QUwBj8imgCtSAyh0AQ+HGsCgZp+HXH4OEc6BBCCRg5EJNCB2AbtDPDEBGPB54MlOYvD7arsGMJxNhzUEfTwlW46OQhYBZB3AgBBBdsnxoyXMjaCtN4FYrQHU1stZSQHbHQHkKWALTSAs7doY9GFkNgVcTi9APSNopQbQfWLJsAaQIoCETZAAJHLoM9UF7I6LD+8AFtJCtV4DyCIzjUFf2W4msixj297cCKDbJ4HYkQI225Agpn+B4gWg1Qjg/72xF2f9bC3eP9DPf6btpBcRJ4GIDSeDFY4AxtkoOJ9YA5hZX23nuxvgo+C0NYBsnrZLzyHCOZAAJHLgNYAhnRpAl93AozqpKx+lgAFkbswskmV3DWAsmeYNDFNHN/Kfu30WMIuElTYKzty2s/2XDVxbqwEUUsD9FiOAq7bsw87DQ7jruQ/4z6L5IoDZBypZhspfcpA/aHgrEgHkNYAqH0BraXcnwbYnaBABjLpwmwhnQQKQyIGngPNEAN3SQKE1gQaoCYTXZgW8fL/YfYNktWuSpNyEAfc9QGgpKQLI9rVJ8cs8AKd1NAEA9vdHTR+zqghgxJroOjyQ+bvPvXuQi85Inu0WI27iQ5WqBrChcjWAqlnALALoxiYQJgCNuoBdkoUhnAsJQCKHvClgt3UBa8bAAUrEQoxW1BKDceXGXFemGkBFZPp47SUwnGxgiqkB9KmWUYju7BSQaR1NqA94IcvAvt6Iqd8tpQaQCcC0DPx6XScAc00ggPqhalA4BirhA6jXBNIQdG8EkI+C82qaQNg568JtIpwFCUAih3xNIG6L4OilrmgSiCAAi7AmMcOgUGcowo4ft3qYKU0g1iOAIYuWJCwF3NYYwMTsPF2zdYDFCsBEKq3y6nts4x4MxZJ5m0B8Xg9PUzMBmEyl+TWiKeTDiKwNTDl9APVGwdW52QbGYBYwGUETdkECkMiB1QDq2cC4rws410pBsYGRqzpeq1oo3Zle1PmtRaXMotQZqgWD25qItITz+OEVgqWAzUcAM5G49sYgJlgVgEXawPQMxSHLgNcjYXJbPQaiSfzfG3sVH8CA/i0joBkRKRovN4hdwEPxsp1ziWRuEwivAXSjETRLAeeMgnP3QxThHEgAEirSaRkDvAZQrwnEXTdwvSYQv6pmqRYFYG4E0O4UGRMgjZooMvsc3BJBFkmlZb7elRgFxyOADUoE0GwjSLERQJb+bWsI4MoFkwEAD73WyddZLwUMCHW12SgcKzMI+Dzwez28CziZljFQpo7ceCqlWhdgeNQAGkUA46k0UgXKWF7d0YVFP38JGz7qLs9KEq7GFQJwxYoVmDVrFpqbm9Hc3Iz58+fjmWee4a8fOHAAV1xxBcaMGYOGhgacdNJJePLJJwsu97777sPkyZMRCoUwb948vP766+XcDFcwGE+CXVPyjYJzyw2cFUrr2cAAtZkGZjfDxjLWAA4KY8BEuBG0C9NX4j4qpgbQchdwNgLY1hhUUsAmzaBLFYCjmoL4+7nj0Rj04aPDQ3h1ZxcAYwEY9KnLKoY0JQAhv5eLsXJNA9GNALq0BjCdlrmYNooAAoXPo6e37ceOQ4P481v77V9JwvVYv4pVgfHjx+POO+/EscceC1mW8cgjj2DJkiXYsmULZs6ciaVLl6K3txdPPfUU2tvb8eijj+KSSy7Bpk2bcOKJJ+ou8/HHH8eNN96I+++/H/PmzcPdd9+Nc889F9u3b8fo0aMrvIXOgVlGBHwe3Ys9q+FySwetnn+Zv8YF4GBMaWQoVz2RYQrY764HCBFWRyZJ6qYis1i13OkaVGoA2SFbTAq4WAHYFPLjS58ej4de7eRd3Uap74Cms569X/z8R9QHEI5H0DMUx6S2BtPrZBalC1icBKKIblmWIUmS7u86jbhwXdJGAEVBGEmkuMjVg4ltM81D4XgS73zSjzf39OLNvX14e18fQn4v5kxowazxrZg9vhXTOhrh87oibkSYwBUCcPHixarvb7/9dqxYsQLr16/HzJkz8dprr2HFihU4+eSTAQDf+973cNddd2Hz5s2GAvDnP/85rrnmGlx11VUAgPvvvx9PP/00HnzwQdx8883l3SAHk6/+D3DfDVxJASsXLa9HgkfKdDnGa1AADgnirM5iZ6pZlCYQ9XHk5lnAEaH+rxghYTUF3COkgJkn556esCkhU6wR9OFs1HFUYxAAcOWCyXj4tU6wsj1DAaixhxK7wBkjGwLY1xspmxeg3uQMts9Z+t4oguk0xOsrO2cYHo+EoM+DWDJd8GGCHUN7j+R/cLj5ybewctMe6GWU39vfj9+9vgdA5vO/9cKZuOQzE8xsBuFwXCEARVKpFJ544gkMDQ1h/vz5AIAFCxbg8ccfxwUXXIDW1lasXLkS0WgUZ5xxhu4y4vE4Nm/ejOXLl/OfeTweLFq0COvWrTP827FYDLGY4s7f399v+F63wi1gdEygAXHupztSKjED+wqf14N4Ml3TNYCZFLA1bzrrf0PfwsItx49ImFvAFCci+NSVRArptKyyx8n9W0rnbVtjEL7sewdiSfSGE9xXzwhRAPZHEwX/HkOMAALApLYGnHXcaDz/3iHVNmgxEoBiF7jiBVgeKxhuBO0TBaDy9yPxlGsEoJhhESOajLqA15QAZGJ735GI4YNDNJHCYxszAm90UxCzJ7RizoRWzBrfgqFYCm/u7cWbe3qxbW8fBmJJrNy0hwTgMME1AnDbtm2YP38+otEoGhsbsWrVKsyYMQMAsHLlSlx66aVoa2uDz+dDfX09Vq1ahalTp+ouq6urC6lUCh0dHaqfd3R04P333zdchzvuuAO33nqrfRvlQPKZQAPiDdwdERw2Lkl74Q8wAeiS7bCTQVUTSLYmr0xG0I2h4WMDU4oJNKAWjtFkKm8dIfMADPo8aAhkIo4dzUEc7I9hd0/YkgCU5czn0VKvf06L8AhgVgACwFV/dzQXgKabQIRjjDEy+/fLVgOoYwPjFaJlQ/Fkwf3mFMT6Pz3RlhkHlyh4HjGxPRRPoS+SQGt97vbvPZJJDzcEvNjwL2fl/L3zPjUGAPDG7iP4wi9fw/6+qOXtIZyJa5L506dPx9atW7FhwwZce+21WLZsGd59910AwL/927+ht7cXzz//PDZt2oQbb7wRl1xyCbZt22brOixfvhx9fX38a8+ePbYu3wn0R4w9AAH3pfB4ClhTR+Ov0XFwsizrRgDLZgRt0AQSS6ZcZ8FzeCBz4xupcxM1Q0hI5RVKA3cJFjDshmzFC1CsAQTM1wFqI4AAsOCYNpx89Eg0BLyY0q5fu2cYAQzpRADLlAJm0fyApkbNjY0gLHOhrf9jiNFkI2RZVqXbmdDTwjrLJ4ysz1tacFRrHQDgQH+0YPcx4Q5cEwEMBAI8ojd37lxs3LgR99xzD77zne/g3nvvxdtvv42ZM2cCAGbPno1XXnkF9913H+6///6cZbW3t8Pr9eLgwYOqnx88eBBjxowxXIdgMIhgMGj4+nCgP1qgBtCnftJ3OkwABjWRC8UMurYuZLFkmtf5ZCKA2RrASnUBZz+HdHZurF56y6nsPDwEADhmVGOBd+rj8Uio83sRSaQK1lx2Cw0gjAkj67Gx80hBAZhMpfnnyaJfZgVg14C6BhAAJEnCr796MtKybBi1DGgigEPZ7WsUawDrFS/AcsBrADWiqT7gRc+QIkrdgFEHMMNMN31/NKkSanuPRPCpo1py3rcnWx/IHjCMGNUYhN8rIZGScWggirEtdfk3gnA8rokAakmn04jFYgiHMwevx6PeFK/Xi3RaX6QEAgHMnTsXa9asUS1vzZo1vK6wVlHGwOlf6FkEMJWWkXSBCIzodAEDtTsNREwN1vu9Sg1guZpAclLAynnqNiuYHYcGAQDHjC5OAALmrWBY8f5IIWXJbtCFCvqHhGWzqI3ZecB6EUCA2bgYxwu0EUC9FHC55wHzGkBtBFCn0SmZSuPrv9mE2/70blnWpVRYhkXbAMLgEcA8x5FWaBt1AjNroUIC0OORMKYlBAD4xORIQsLZuEIALl++HC+//DI6Ozuxbds2LF++HGvXrsXll1+O4447DlOnTsXXv/51vP7669i5cyd+9rOf4bnnnsNFF13El3HWWWfh3nvv5d/feOON+O///m888sgjeO+993DttddiaGiIdwXXKgVTwEI3rRvqAPW6gAHlhlVrApBFQeoD3kxEKlA4klAMgzpdoIBaALrh+BHhArDICCAAQXDnj0Z1DTFDZkWImU0Bs30f8HnQnhVyZiKAkXiKmzRrBWAhtDYwek1AfBpI2VLAuTYwgCKWRGH8xu5erH7nIB5Z14m0A9OZRtFMBrdvynMOaVPt+wxSwOx4mtiWXwAC4FG/fb1UBzgccEUK+NChQ1i6dCn279+PlpYWzJo1C6tXr8bZZ58NAPjLX/6Cm2++GYsXL8bg4CCmTp2KRx55BJ/73Of4Mnbu3Imuri7+/aWXXorDhw/j+9//Pg4cOIA5c+bg2WefzWkMqTVYE4hRClisr4kl02hweEZcqQHURgAzNwm3pLLtQhuZYZFR221gDJpAJEkpyneTAJRlGTsPZwTg1BIigPUmIjeAkgJub8yNABYUgFEl/d6aPY/NWMGwusOQ35Mzw7kQ2geqwahOBLC+vBHAhI4NTGYdckX3+uxkjFRaxmA8afjAWy2UCKC+AOTj4CxEAI0ix7uFGsBCsIgyRQCHB64QgA888EDe14899tiCkz86OztzfnbdddfhuuuuK2XVhh08AmggAD0eideBuMHKI1YwBey8p/9yoswBzpz6LK1ndwpYzwaEYdbDzEns74siHE/B55EwyUSkxAizXoDKFJBcAfhJbxSJVDon1ckYjGXO4Yagjz/ImYkAHhrIbTwxi3YWsG4XMI8AlscGhp3L/pwawMw6iPOJ1wuj0frCCccJQDbWrnAE0Pg4YkLb65GQSsu6KWBZlnkTSKEUMACMa6UU8HDCFSlgonIwI+h8F0Q3dQLzUXCaFDAXgC6KQtnBkGZCR7kmgQzkE4B+9xw/DJb+ndRWbyi8zGCmexMQ5wArIfZRTUEEfR6k0jL250nBDQoiv7XevAA0qv8zQ24TiJ4PIItGxsvSRcpn5+bUAKojgLFkCps/PsJftzIppVIUigCyUpy8NYDZFPCx2Yi1ngDsGYpjKJ6CJCnRvXyM4xFASgEPB0gAEioUH0Dj4LCbOoGjBkbQgRpvAmG1eeWwgdFazWgRrWDcgh3pX0CJRhXTBSxJEk/T5UsDi+l3HgE0EXXTTgGxQm4TSGb79FLAaVnJNNhJXMcHEADvdGdR1627e1XlB1YmpVQK0zWAeR6imAfgCdnO395wQtUEBijH0ZjmkCmT7HEtlAIeTpAAJFSwC7NRDSAg3MBdEMFRZgGrD3VfjdYAhjWRmVC2CSSSsM+XL5JIcasZbQ0gINQvueD4YdjRAAKIXcD5m0C6dZpAAHN1gCwF3BT0oSUrusx0AZcSAdR21es9APi9HjRlj4dyeAHyGkCfOn3dwJtAMuu0/qMe1euOjAAaRDMZIRMPbqwGcOLIen491zaCWKn/A4QIYB8JwOEACUBCRV+BLmBArPdxfgSH+wDmNIHUZg0gi8zUa2oAZdm+rlwWgfJI+rNj3RgBZAKw5AigidF7sizrRgABcwJwQGjAsFIDWIoADBoZQWsiwLwOsAyNIAkDGxh2rLOo67qPMs2ArMzRrEVOJWHnoqENjInSDSayRzQEeHp3X6/6uOEm0CPMCsBMDWBvOFHwIYZwPiQACU4yleZWCUZNIIBQA+iC+jmjFHCt+gBq7TnECSl2dQKLDQB6zQRBTcOAG2Am0KWngAt3AfdHkkhmQ6gjNaPLWKRmTx4ByBt9xBRwpPDNuqQaQEMfQPV5V85OYD4JxKdfAzgUSyGaSOGN3b0AgJMmjgDg0BRwMn8KmGU08gnAI4KX5PgRGQGonQay20IDCAA0hfw8ikt1gO6HBCDBGRDGRzXrpO4YQb97IjjKLGCtD2BGmDjFzPr/3tiLqx56vezpqCFNDaDP6+FpJrvqAI2mgDCYGHeLAOwLJ7hFypSSU8CFu66ZB2BT0Jfz4GI1BdzKawBNpIBLqQEUmkDy1YCWywtQlmXDGsB6Ie2+dU8v4sk0RjUFceKEVgD5o6PvfNKHr/zPBry5p9fW9S0Eu7YWsoHJd87yCGB9AEdlBaBRCnhim/mpHlQHOHwgAUhw2IWwIeCFL0+no1tqANNpmT9JG0UA4w5JAd/34g68uP0w1u3sLvzmEtCz52Di2G4BqJ0DzDAzxspJ7Dg8AAAY2xKy7I+nxYwNDIuOadO/gFkBWFwKuMuGCGAsmVbVgGqPASUCaO+DjljKkSsAszYw8RQ/vz47pY1PJsnXILPqjX34244urNqyz9b1LUThCGDhFLAYAWQp4L0a0banJ/O92QggQFYwwwkSgARH6QDO74nFUsBOb6AQI0zaWjQnpYDjyTQ6s+OYtF16dqMXmTHbmWoWIxNohptKCABg5yF70r+A0HWdp36KeQBq078AMGFk5kbeF0kYijo9G5iheCrvsS7LshIBLKkJRObHsCQpgpcxMmsFY3cEUNw2IyPoSDzJ/f/mT2nj17l8NYBMjFe63s1sDWDE4CE8lZbRmz0+RjT4MT5b4ydGAOPJNPZnmznMNoEAohUMCUC3QwKQ4JjxAATcEwEUn44NawAdIEI6u4e4L1q5B9azGk8xMmPWm8783zC2gAGUiGPMNRFAezqAAXOzgLt4A0iuEKsP+NCe/blRHeBg9kGuMeRDk3Au54sC9keTPOrUXpINTIrXIDYEcmtAyzUPWBSA2lFw7AGnZyiOLdlU7menjDQ1JYX5MRoJrXJRKALIjiOjCGBfJAHW1D+iXr8G8JPeCNJy5ny0kvYf10rj4IYLJAAJTqExcAy3dAEzE2i/V4LXo74pBLI3CSdEAD88OMj/P1TmSIPWCBqwfxwcjwAapoDdFQHkFjA2RADrTYhtvTFwIhOzUUBDASjUYHo9Eq/nzSd0WANIcyi37tAMYhOI3jHGGFlfni5gJpg8EnLKV9g+33l4CPFkGqObgji6vcGUSTaLVNo9KrEQcR4BLK4JhAnsppAPfq+Hp4C7BmP8d8QGECuTX1gKeD9ZwbgeEoAEh1vA5DGBBtzTxck9AHXSKE6qAfzw0AD/f9kjgJomEACos7kGcKBQDaDLIoDcBNqGCKC5GkB9D0DGUSydZ5CCG9DM4W0xIXRK6QAG1Obwg3lMwHkE0OYUsFEDCKBEABmfndIGSZJM1Uf28AhgpVPA+UfBFaoBZMKVlRG01vt5NzRL3VrtAGZQE8jwgQQgwek34QEIuCeCwz0AdSIaPgfVAH54SIgAxsorivQaNOyuAcw3BQRwzwMEkDmGWKTtmNENJS+vzsS+7srTBAIAbQXSqDwFn438KULHWHSVUv8HiCUV+afAlMsHkFvA6AhAbSTys1PaAACtdVmT7DyRUS4AHRcBzB9JZuvNmm4kSeKdwCwNvMeiCTRDMYOOIl2GkX5E5SABSHBMN4G4JIKjeADmHuZOSgHvEFPAZY8AKg0CDDOWElZgKeAmgyYQMx2MTmFX1xDSciY1Wow9ihZzKWDjJhBAEYAsVayF7//sZ8yEjrkIYMjwPflgwismRAD1IsDl8gFk57FfRzBpI4Dzj8kIQBYZjSRSuuUs0USKR2rzRWzLQayAACw0Cu4InyWtHEOKGXRpEcAxLSFIUkakdpfBz5GoHCQACY6SAjbZBOIA8ZQPZQyccQq42gIwmUrjo67q1gDWmTAntoLeHFgRN0UAxRnAVuqkjGA37nxdpUoNoL7gZM0hRjdfrQAzMw+YCUCjusNCqGsAjT9/Jmr7o0lbzz3eNKGbAlaO9Y7mICa3ZQRPU9DHp4HoiWOxU7nSDyuFmkDYA1xfJKEbhROngDC0XoC7LU4BYfi9HozORoqpDtDdkAAkOEoXcKEawGwK2OldwEnjCKCf37Cqm8L4uCes8jAbLGMKWJZl3Q5du2sAmRHxcGgCsWsGMMNMDWB3gRQwE1FsXrBILJnixxNPAdczu5Py1QCKXcD5Pv+WOr8ygs3GCRy8BtCXK9JFCyhW/wcAHo+UVxyLEdbqRQD1G3LGtoTg9UiIJ9M8fS8iegAymBXM3iNhyLKM3d3MBNqaAATICma4QAKQ4JhNAQdcEsFhKep8TSDVjgCKHcBAeVPA0URa16DX/hrA3DSziJkxVk7BrhnAjEL7OpWWeeTJqAmECUO9NOqgMM2HNfqYaXYoZQoIIAjAVFqIAOeed16PxO1X7PQCNJoDDGSEHhPerP6Pwa1gCkQA7Xo4MkuhCKDP68HYlky6Xq8bnBlts5Q7oE4B90USvFnLagQQICuY4QIJQILDmkAK2cAE3WIDkycFzGoAk+lqC8BMBzBLqZRTAIom02JUxO4awIGCTSDuiQDaNQOYwdLtSWFKjciRcByynDFRHlGvfx7yJhCdGkCe/g14ufVRq4UUcNERQJ0mEKMSgHJ4AeZrAgEydW5+r4RTj21X/TxfBFBcv0o/rBQaBQcowm3PkVwBqHQBK8eQmAJmE0BGNQX5MWmFoygCOCwgAUhw+kx3AbsjApivCYTbwFQ5Bcw6gOdk55KWswZwSBAHHsEXsc72JpDsSMFCNjAOf4BIpWV8ZKMJNKAW3npRQJZ2bK3zG45jZJHBgVgyZx9qLWAAkxFAu1LAKcUHsDGg//m3laETmEXyjSJmv776ZDz9zVN5GpTRko2Q6UUARQGYSMkVzRbECkQAAWUqDBNzItouYADcDPpAf5TXHVttAGGw6CMJQHdDApDg9GdvHgV9AP0uqQHMYwPjmBQwE4ATWwGU1wbGqDuTpceiNqeAjbqA3VJDuu9IBLFkGgGfx7JVhhEBnwe+rPgO63jLsQ5gvSkgjOY6H1+GNorGxZew71sL1ACm0jL3Hiw1AhhPCj6ABp9/S560a7HE8qSAAWB0UwjTOppyfq5MA8kVo1qBWsk0MKtpNKoBBIQIoE4KWOsDCADtDUEEfB6kZWDDrh4AxQtA0QqGcC8kAAmOeR9A5WnfyUSTeYygfdUXgKm0zLtM54xvBVDeFLCRP1vIRGOCFfIZAQNKBDDq8Agg+2ymtDfkTJIphXzj4Lp07Du0SJKkNIJo0sDiFBBGc4EIYPdQDGk5M0XDqO6wEPqTQPQ/f+aFaGdaldvAeK19TkyM9utFADWisJJegOzhKH8E0DgFzCOAwnHk8Ug8dbt+Z7dqGVahFPDwgAQgASBzMWZP0S0GtUcM3gTi8CL+vClgT/V9APf0hBFPphHyezB9TCY6EUumkSzTOrH0svbGbGcKOJ2WDf8Owy2zpO0cASdSn8d2p2eQ2bHkF2JKJ7C+ABSjby0FZt6y9O/IhmDRQjdgchIIYH/XOSAKQGu3tHzRUW10tZICkD1cG9U0AsYp4EQqzUsBRtarHyRYGvijrkxta6kRwMMDMceXchDGkAAkACgdwJJkXLvDcEsRvxkfwGqOgvtQsBhpEqKu5UoDG3Vn2ikAw4kUH0JfMAXs8OPHbgsYBu8E1tnfhSxgGEwgdmssQAZ1Rv21ZkVAfyQBWc493ruyUcRi07+AWngxoWkYAbR59jQg1ABaFID5xLFWAFbSCibGy1cKN4Hs74uoHmRZ+tcj5To6sMgdo1gBOKLezx/kDlAa2LWQACQAKB6ATUGfqkFAj2HRBMJSwFXcBjYD+NjRjQj4PPzmNVimRpCwQWSG1wDaIABZ+s/rkYoeZO8URBNoO1HMoHVSwIO5tVt6jDTopGU2MHoRwHgqrTs5otQGEEDdrcoESKOODQyglBzYKQAL2aYYwcSxrhH0kPpn1agBzCdoRzUFEczW9O0X7FjYerfWB3IiunYJQEmShDQwCUC3QgKQAKBEAAulf4HCNjC7uobw/618k0dQqkU0rw9g9VPAbATcsdni9PrsDTNcpjpAFh3SjsYK5REkVmGpp8agz3ByhhsigLIsYwcTgLZHAJkAKq4JJPN6/hSwWAPYEPDyppFenXnAXACWMOpOFCpHzEYAbRRULJJvNQWcryGF7Vt2GFfqgUWWZcUIOk8EUJIkntIV6wCVDuDcazmzggEyYnl0CaKfzKDdDwlAAoB5CxigcBfwyk178OQbe/Hwa7vsW8EiUCKAej6A1W8C+VBjMszSdoNlEoBGI7rsHAVXqP4LcIePZDie4mnBSUVMSshHviYQJjraC0QAlXnA6hSwng2MJEl5rWDsiAB6PBIXmams23iDQSmJmXnIekQTKSz/v2146YPDOa+VWgPYp2n4kGXFkLsjOx+5UingZFrmZRRBb36PPt4IInQC63UAM0QbnPEj6gpme/IxrpWsYNwOCUACgPkOYKBwFzC7yXR25XanVRKlBtDYBzBRpRrAdFrmEdJjswKQiaZy1QAqY+D0awDtTAHnE4AhYZC9Xk2aExDFSX0RRrn5yDcOrofXABZqAgmq3s/Qs4EBhHFwOrVufApICQIQyBVfRjWgxR5va7cfxu9e3417nv8g57UETwFbEzRGk0D6o0kuZJnQySdYn9i0B//x7Pu2HM9iZDxfBBDQN4PW8wBkiBHAYtO/jLEtzArGHgHYG45j+f+9hU2dPbYsjygMCUACgHkPQKBwFzC7CXV2D9m0dsXBbEac6AO4rzeCSCKFgNfDL8SsOaNcEcBCPoB2pOSUCJSxaBJvak61EmLR0JDfY5jKLpZ84+C6eAq4QAQw+3qXCRsYIL8Z9OGBTA1XqQJQW39nlAIOFdkEwtZTL11bahNIfySBdFoRb0xENQZ9vE5QL2XP+OHT7+GXa3fy7tpSECfEFNoevU5gvTnAjI4mpdO7VAFodw3gX989iN+9vgf3rPnQluURhSEB6BI2dfbgX1dt0zUstQOzY+CAwk0gTAB+0hupapqPRRjq9FLAvurWALIGkCmjGvjEB3bDDJepCcTQB1CoySo1gqFEoIyPI7FhwKl1gPmOnVIxqrmMJVNcQOfzARRfz2kCMYoA5hl5xlLA7QVEZyFEARjweQzTsXVFPnAczordgWju+RErMgXMumTTsjLCEBB99PwFu5ZlWeY11FpfxmJgAtDnkQqmaHUjgOFcD0CGOEO4VAFodw0guwftPUIp5UpBAtAl3PnM+/jtht3467sHy7J8aylgpYhfTzCwm1Baru7JbMYGplop4A81DSCAUjNVLjNoI4NedkOW5dIFmVEESiTg9VS8sN4qkTIKQJ4C1kwCYaLD55EKnodtFmxgAGEecJ4awFIaAgB1tCpfCYDSBGLtWGPR0UEdAZjIjnT0W+wCDvm9fH1EccyjaPUBpWbT4FiNCNZHR2x4QDczB5ih1ADqRAB1UsAAcFzWc/T4sc0lradYA2hH6ps9EO07ElFFY4nyQQLQBUQTKby5txdA/oHupcCeYLW+UXoUSuGJNWwfVzENbGoWcNUigOr6P0ARZoPlqgHMLldb01ZoPq0VlDSzsXCSJMnxZtD84cHm+j/A2Ai6W7CAKRT5Yem9oXhKJaL1bGAA4xRwNJHi5R+jGkOWtkOLKFjyff68BtDiscbEbiSRyoncF9sEAujvmx4hjVpofcXrnR0ZGiuWNiwC2DUY48dTT/YeoRcBBIA7vjALj3z1ZCw4pq2k9WQ1gEPxFLcRKwUmAOOpNK9LJcoLCUAXsHVPL49UDZQpOsROYCspYEBdr8IQI1jVbARh0Sy9CKBPsIGpRiOCvgBkqcEyRQDj+ilgr0fiNxujKIdZlC7gQuMEnW0FE8ljIVQqRl3AB/sztVSFpoAAQHPIx62MxDSwEoFV7/+WbDRIawPDomoBr8dU/W8+RPFl1AEMCD6AFo81sd5RGwVUagCt12sq00CU5Ytp1EI1suL17kieB/RwPIlbnnoHGz7qzrs+3ALGxLHXUu/nzTZ7s2lgpQZQ/xwc1RTE6dNGlVzbWhfw8geRfTakgcXrnt58Y8J+SAC6gI27lK4ovfSHHbAnrlYTPoBiqkfvBi42MTgiAqhzIWXbIMuKbUWlkGUZOw5mTaA79CKAlW0CAeybzsAjUHkiQIASlXWqFQzbD3XliAAa7Otd2QaCye2Fa7OM5gEPGjThKFEu9bElWsCUKgjEiJWZFLBVWxUx3a2tAyzWCBrQnwYiplEL+WQOCcLFaNweAKx57xAefq0TP1m9Pe/6xCxui7YOMF8XsN2wNPB+GzqBxUgq1QFWBhKALuB1oS1+MFaeFHAnu/m0NRR8ryQpESM9ASg+EX9cxSc5MylgoPJ1gPv7ohiKp+DzSJgk7G/FBqayTSCAfVYwRjYkWlh0Q28yhRNgwrQ8NYD6o+BY17yZcxBQrGC6hzLCSJZlPkVGu/+53YkmRckbQEqs/wPUgsWoAxgo/lgTI4ADmutg3OYUMPNjHNkYKNi0YjYFzPb1rgKdwlZqAIHcTuB8PoB2M67FvkYQMQK49whFACsBCUCHk0yl8cbHR/j3eh1wpTIYS+JQ9uI0ud3czSdoYAWTTssYEp6UP+6uzomcTsvK5Audm5F4o6h0HSBL/x7d3qBJm2VuNGXzATQwggaK78zUMpAnyijidDNo0QbGbpQUsPpcZuUSZs9B1rXLIoDhuDCHWZsCFuxORLgHYAlTQBiqJpA8DwDisWa2/CKaSKki49rrYCk1gNwMOqIfATSq2WSoU8DGApBF5rqH4hiIGj/IW41mMnPnPT1hRBMpHqk0qgG0kzHZjuKD/aXX7IkRVooAVgYSgA7nvf0DKkFVjvQgi/61NwZM1QACxjVc2hqyPT1hJKvQaLG/P4pESobfK2FMc25xu1+oFaq0FcyHOulfQBGqQ2WoAZRlmS9Xr0C/2LScFjNG0IDSSOT4GsAydgEbpYCPNikAtfOA2bXB65FyhCs3gtYIwPf3Z45FlsorBVUKOF8NYHafptKy6eh7l8HEEwZbjlUfQECZByxG78QawFCB0XXi+ZqvBrBHWH6+B2OlBtBsClgZB8cEqM8j5e3EtwtWf2jHfUkdASQBWAlIADoclv5lF9dyRAA/snjjAYy9AJkA8EiZdU6m5aoMC/84u00TRtbnDEQHMmnsas0DZgXO2lRfOVPAYnRINwVs0zg43oRQIAXM6jKNzMSrDUtNlyMFrNcEEk2k+EQFsyngtmwKuCubAlYsYLw59Xx6NjDJVBrPvL0fAHDmcaMtb4cWVTQ7j/gQu9DNRpxzDa81KWCbawD5RBahCcSwBjAm1gAaRwCPDJkTgFa3RbSCUfwLA7YbmOthZ92yugaQUsCVgASgw2ENIJ+dkmnZL0cE8KPDSkrSLCyCo+0CFhsNJmUvTNWYCNKZvcBOymN2ym5YyQrXALKbnvYmWU4bGBalkCR9UWNXDaCRD52W2o4AMsNvZV/v6QlDljPi3KwhM5sG0pMVR6wBpEnHQ1Csc2Meaxt29aBrMI7Wej9Omdpe5NYoBFVNIMb7ze/18LnBZo+3roH8EUC7awBFIVXo3FDXABpHALsFAZjvmqgIQHPHHheAR8I4MpT5+0YegHZj50OrGAHc10tegJWABKCDkWUZG7MRwIXTRwEoTxewknpqLPBOBZZq0dZwiSlA1uBQjU5g9jcn5YmmVMsLMG6Q4mksow0Mr/8L+HQjA4XSXGYx8qHTwksITDaBvLajCz9/7oOKdWzzSSBl6AKu09nXYgew2ciNUQpYL8LL/D1lYeLFn9/6BABw/qfGFCWctJhtAgGsd52zRheGcQ1gKTYwCb4stnzRCNpMDWBvOGFY16iOABpfE62mgMdnU8AD0SR2ZZc7wsACxm7Yg549KWBl/yZSMq9LJ8oHCUAH81HXELqH4gj4PPi77BN6OSKA7OYzZZSVCKD+DVyMAE5uYxHAyofzlY7KwhHASqeAjS7w9WWcBKJMAdEXNIXSXGbJJ0JEWI1a1GQTyG1/fhe/WPMhNuzK76FmF9EK1ACKQt9qBzCgjIPrGlKPSNMT3yG/l+/z/kgCiVQaz7x9AADw+VnjrG6CLgGTKWDAuhegNgVsKACLSAG31mX2IzPZZ0LNI2Wig4XqYweFzzGeShu+T2wQyXdNjGfPCbMp4PqAEjV+a08vgMp0AAPK52xPBDCz3axkZw+lgcuOKwTgihUrMGvWLDQ3N6O5uRnz58/HM888AwDo7OyEJEm6X0888YThMq+88sqc95933nmV2iRTvJ5N/86Z0MpP6MFY0tYoiCzL2HU4KwBtqQFU0puT2qsZAcymgPNsE68BTFY21WBk9NpYRh/AfB6AgD0p4FRa5hfxgk0gFiOAzELjkA3dhmaoRBdwNJHmaa5d2Q5gK2UYPAWcjY4ZjfpjMKHTG07g1R1d6A0n0N4YwLyjRxaxFbn4fUr0rdDnrxcFzQdrAmHBUW0XLY+q25AC5g0g9ZmJLOzBzOjcCGtKNvQ6gdNpWdUgYmcEEFA6gd/a28fXvRLYdc0Sm9TYOUB1gOXHFQJw/PjxuPPOO7F582Zs2rQJCxcuxJIlS/DOO+9gwoQJ2L9/v+rr1ltvRWNjI84///y8yz3vvPNUv/e73/2uQltkDlb/d/Lkkaqneju7RLsG4xiIJSFJwMQ80TItRjYeSgrYW7UIoCzLXADmi6hUKwXMfb404oLduKOJtO2d04W6c+1oAhGPSzttYDI3T8VCoxJUYhaw+Hes+HAyWBMIs4EpNIdZFDp/ejPT/HH+p8bCZ0P6FwACXmW7zKaAzY6DYxFA5jtn1AVcVARQMwlErP8T19VMEwigXwfYH02oHtwP9scMSz2MSkTyweoAPzyU6equXATQHuuqzFz5zP+nZd0R9vZQJ3C5KX+fuA0sXrxY9f3tt9+OFStWYP369Zg5cybGjBmjen3VqlW45JJL0NiYv6YtGAzm/K6TYB3Anzl6JII+LwJeD+KpNAajyYLD4s3C0r/jR9SZGj3EMLKBEZsAJo3M3Mx2d4eRSsu63bjl4PBADJFECl6PhKNa6wzfV60uYBb1yk0BK/s/nEih2aYbM1C4OcOOGkB2I/R7pYI3r5BfiYIVoj+aALt3dldoRmi0jAJQnEwTjqfQEPQpKWALEcCR2QhgOJ5CJJ4qmH5nVjCHBqL467ss/TvW+gYYYHYSCFBECpj7lNZjX2/EMAJYVBNIdr9EE2lEEynVHODMunr4usqynFOjqX0g1xOAbJmNQR98Xgm94QR294Rx3JjmnPdaGQXHYFYw7DypVATQLhsYUURPHd0E4ABZwVQAV0QARVKpFB577DEMDQ1h/vz5Oa9v3rwZW7duxdVXX11wWWvXrsXo0aMxffp0XHvttejuLjCjMRZDf3+/6qtc7O+LYO+RCDwScNLEVgBKbY+dKcJdXawD2HwDCGDcBSxGmsa1huDzSIin0jjQXzkrGBZxPKq1Lm8dTfVrANUX+KBP6Y60uw5QSc2XrwZQGUOm32giYiUCKM667alQBJDbwJShCcTjkVQp92gihf19mfPDSgq4KajMA+4eihVM87MI4J/e/AQD0SQ6moP4zGR70r+ANQFYl71+mD3eWBMI2z/aa2ApTSCNAR/Ys2l/JKEygQaU2lxA/4FFG/3SSwGLopI1phnNSWcZCSuWNhM0bgfVqAEsZaY6Ow7q/F7u3LC3l1LA5cY1AnDbtm1obGxEMBjEN77xDaxatQozZszIed8DDzyA448/HgsWLMi7vPPOOw+//vWvsWbNGvz4xz/GSy+9hPPPPx+plPEF6Y477kBLSwv/mjBhQsnbZQSr/5sxrpnbOrCLqp1egB8VUf8HKLU2RinghqAPPq+HX5gqWQfYyTuA86e02QW28gJQf9STJEm2FlWLhOPlrwE02wACGNeQ6iHeULXNAOWCRaasRGGsIApuVq7QHPJhhIlZ3AxJkngauGcoXrADmwnAtR8cBgBccMI4eGyMygdVXcD595v1GsDM585S5EZNIMUYQXs8kuIFGEmgJ2ulok0BG60vO+7Zw5ueF6CYVmalMbt79K+JsYT+9SEfbB4woxJTQADlepJMyyVZOrEoan3Ay+8ZFAEsP64RgNOnT8fWrVuxYcMGXHvttVi2bBneffdd1XsikQgeffRRU9G/L3/5y7jwwgtxwgkn4KKLLsKf//xnbNy4EWvXrjX8neXLl6Ovr49/7dmzp9TNMoTZv4hP6Czcnm+MkFWKMYEGBB+3nC5gtccdE2GVHAn3scmOSl4DWKUmEL0nfKWo2l4vwELRoZANNYCWBKBBF7ke7Iac+X9lm0DKEQEUlxuOJ1UTQKya97JIT/dQvGANYKtgBQMAn59tX/oXUEffCkYAA+YfOJKpNH8IYNepHB/AEoygAXEaSIIfY6zL2utRZp/rCUD2cDUuW26iNw2Ez+et9wv+qAUigBbELJsHzKiUD6BYUlLKQyuLANYHvdzW5pPeSMVsn2oV1wjAQCCAqVOnYu7cubjjjjswe/Zs3HPPPar3/P73v0c4HMbSpUstL3/KlClob2/Hjh07DN8TDAZ5JzL7Khcbd2Xm/54sCMBydIkWYwEDGNcAik0ggCLCKmkGzU2gC0QArdQAvr2vD/e9uCMn5V0M8Tw1PjwyZHsKuEATiA01gDwCZSECaMYG5kg1UsDJ8tUAAupxcMXU/zHahHnA+WxgAKjGPB7VWocTJ7Ra/nv5sGQDY8EHsCcchyxnbFkmZsWT9iGYN4EUWTfbzKeBxNETVkcAAdG3MPe8ZClgJlz0agC7eQo4WNAfNd8DohHjWusgBnMr5QPoFcoZSmkECQs+pR3NmdKhjBdg5adI1RKuEYBa0uk0YjF1NOCBBx7AhRdeiFGjRlle3t69e9Hd3Y2xY+19Ki6G3nAc27PzYj+tEwG0yww6lZb5RchyBNCoC1iTauQRQIN6l3JgxgQaECaBpAuLuu//8W38ZPV2vJxNn5UCrwHUsRixc7SSyKBwgdWj0MB7c3/DnAk0YDECKKTUuiuUAo6W0QYGAOqEaSDFdAAz2hoUK5iCNjBCevnzs8baPiqMTa6QJHVDkx71FppAugaU+jnWsDEo1JzJslzSJBBAPSqP1wAKIko5P3RqALPXPNZwppcCFpc5uT0bATS4JhZjA+P3ejC2RYkCVqoGELDnmiWmgL0eiUdTKQ1cXlwhAJcvX46XX34ZnZ2d2LZtG5YvX461a9fi8ssv5+/ZsWMHXn75ZXzta1/TXcZxxx2HVatWAQAGBwdx0003Yf369ejs7MSaNWuwZMkSTJ06Feeee25Ftikfmzoz0b8p7Q0Y1RTkP7c7ArjvSASJlIyAz8PtFcxSaBYwExqVjgDKsszFZj4TaECJWBTyAUylZby7P9Pwc9CGJ9J8NT58tJLN00AKGUHbEgEsIEBErDSBiBHAgVjS1O+USjltYACgnlmLJFKqFLBVRgpWMIVSwM1CBHDxbHvMn0VYxMpo2oyIleOtm6dkg2gKZrYhLQNDWZGeFNKExdQAAoo47oskVNE67frqWbewc+uoESwFrFcDmODLZA+mn/RFdI9lq6PgGCwCGfR5ynbc6sGyPaXcl8JcAGaOXbYtbG46UR5cIQAPHTqEpUuXYvr06TjrrLOwceNGrF69GmeffTZ/z4MPPojx48fjnHPO0V3G9u3b0deXMcn0er146623cOGFF2LatGm4+uqrMXfuXLzyyisIBoO6v19J9Or/ACWyYlcTyEesA7itwXIxOIvg5HYBG9cAltIlZpaeIcXXUNsZp8WsD+CuriHe/Zdv1qdZ8tk82OWrpaVQdMhOGxgjAaL398zYwGjTvpVIA7P1KsckEED0XUzakwIWagCNIrDMLHjKqAbMHGd/+QoXgAUaQABrPoDMBLq9KYCQX+mUZ2lg8RpUbA0gbwIJ53YBA8bnRzyZ5unno/LUALK6wpENfrQ1BNAY9EGWgT06XnfFRAAB5Xo3siFge3Q3H3Y0rvEawOx5wQQgRQDLiyt8AB944IGC7/nRj36EH/3oR4avi+Kjrq4Oq1evtmXdysE5M8fA45FyHPobs0+/dgnAUiIPyixgo1Fw7ESuh0fKXDgPD8QwujlUyioXhNX/jW0OFbx5+0zWAL63X7H7KVV8JFNpHrHQu8A3lGkcXMFJIDakgAfKFQHURFS6B+OqdJfdyLLMb/TlFoBdg3EczE43ObqEFHD3YKyg1+NJE1txz5fn4ISjWsoiEALZ88lMDagVH0CWAm5vDEKSJDSFfDgSTmRKYVrU528xNjCAkgLujcSVSSC6KWB91wNAiQDqdgGzusL6jDib1FaPdz7px8fdQ5g6Wm3BxabemBHSIqwTuFIegAw7MlNhTeCAPazQNJDy4goBWGvMnTQCcyeNyPm5YrppTxcws4A52mIDCCB0ARvUALKLQsDnwVEj6rCnJ4LO7nDZBaDZ+j9ASAFbEIB66R0riNHGfDWAdgvA/uxDQ5NBdMhKTZYRhRpNRKzYwGhFd7mngYjrVK4uYJYCfv9AptZ3RL2f17dZoa0x1wbG6DOWJAlL5hxVzOqaggkPsWzFCCUFXPjz7xJSwADQFPLjSDjBj2l2TkkSijabb8mu+ye9UR5RbBNTwAbnBxM9QZ8Ho7KfRW9Epws4e8yyiO3ktga880l/Tifwgb4o3tvfD0kC5k6y5tHIhOS41vJeY7U02nDNEmsAAYoAVgoSgC7CLtd1RikRQH4DTxjUAAoiYHJbQ1YADuFkm+aOGsFHwLUXHmunGEHnT02LArDUFLC4v/TqlRrKZAPzSW/mQmpU61lnoSvTiEICRCRkwXeQpdSCPg9iyXTZrWDEfRAqMqVYCHaje/eTTFlKMelfQCn2P5SdfgOYE+Dl4DOTR+KOL5yg+/CqxcrxxiOATZltVfxQM8eF2AFcbGSTpYDZNTHk96jEv1HNIktdNgR93EqmL5LImXzEfQCz71FKY9S10S9uPwQAmD2+1ZSQFjlnZgf+fclMnHKs9SbIUrCjCSQ3BUxegJXAFTWARAa7jaDZxe6YYiKABUbBiTcho4tdObASAWTD6wtZu7y3f4D/v9QIINtfXo+kO4O1QfCHs4v+aIIPumdP1lrEGqdiazWLawIxHwGcMioT4Sh3JzCzgPF79T8jO2BdwPwhrIj0L6CkgMVJO2b2fznweCRcdvJETOtoKvheKz6AvAaQRwDVgoM3TZTwWbEUMGs60ProGZVIiCUvLYLPYr8QBYwllTF9TLBPMpiTvua9gwCARcePtrwNfq8HV8yfXNQDfSkoWYsSbGA0TSDM15C8AMsLCUAXYWcXcDSRwr5sVMjqGDhAv4YrmUrz4nltBBAwNj61E/Y3CnUAA+ZGwR0ZiqturqVGAAsNei+HDQwbqj6yIVCwBhAwJ8r0sDYJRP8BQksylebi9dhsiqvcKeBIvLz1f4AS6WD3tmIjgCylyDR7wOcpuhGikoTydNVqYV3ALALIJiOxB+FEEaPTtLAuYFafy+YsM4xqAPmEnYAPAZ+HH/vigyK7Zng9Ep/hrucFGE2k8LcdXQCAhcd1FL0tlYZ1AZfiXBDWjKoc3RSC3yshmZZxsIJjRGsN518pCE6jjT6ArPOwpc5vafwUg11sxejZkHBxFAuY2cVudwUEoN01gCz9yzoPS48A5h/zZEc9jRZWSG0U/QPUdifFzgO2NgkkawRdIALE6qkkSTEr7ylzBLDcFjBArk9esQKwMehTRb7MdGA7AUs1gEITCJA7EYldg4ptAAHUHolAbiNFSLDtEdGWvLDliHWALGI9ot7P3RbYQ3HGiiuz/ut2diOaSGNcSwjHjy0cRXUK9voAZpZFXoCVgQSgi2gO2dcFvOuwUv9XTN2MXgSHXQz9XkllcTKZpzuGymoF0xdO8HqxQlNAAHM1gMz/b3Z2agKr7ymWfBYwgJBOKaEWTwu7gOYTgIXGXZmBpYDMGEGzG2qhCCArnm+p82N0U6a4vbvMNYAsil2uBhC9ZRebApYkiUcBAXP73gmYTQHLsqz4AOYIQHUEsFgTaEDtkQjkGikbRQC1oy9H8JFyykMKe2gUReXopiBCfg+SaZnX5z6fTf8uPH50RW1cSoVnpkq4L2lrAAHyAqwEJABdhJ0pYDYDeEqRkQelCzhXAGrTjBP4+KakrkeWXXycHa4+qinInyTzYSYFzLo0509pA5Bb32MVHgE0mDBRz30A7YwAMgGYXxSbLczvGozhf9d/nHPzZjdkIxsSkaAQQc73UNAjeLKJc2/LCduukEUjXivkRgALP7AYIYqVajWAWMXssdYfSfIHNFbvmCsAM6+XUgPYUkAAGq2vkgLOvM4igEdU86uVSSYMj0fCpJFKaYwsy3jh/UwDyFkuSv8C9mQtFAGoHL/jW6kRpNyQAHQRjULxc7rEwthSOoABsQtYuSAa+ZCF/F6MbQmp/m45sFL/ByhNIGZSwCeMb9Gt77EK6wJ2WgoYMH9T/s81H+J7f3gbv1y7U/VzbgRtZhScsP35ooA8etIQQHsjG3tWoRrAckYA/co+am8M8Lq2YmCRMaB6DSBWMbJV0XI42wDSFPTxqLHWDzVexOxcLUGfVyXKtU0gRkbQ2sYn1gksXiP0BCCgbo57b/8A9vdFEfJ7MP+YtqK3oxrYkgLWmVSkWMFQBLBckAB0EeLTfamjwj46nJkCwjorraKfAja2oWAeVT946m0c6CtPUe/HXebr/wDA78mfAk6k0vjwYGY/zRjbrDzdlxDFLJgCDthvA2MmBQyY9wL8ILtPnnv3IP9ZMpXmv2dGhIgNFvnmAbMRWiPECGCFuoDryjQHGFCngIuZASzSJggL99UA5j/WuvkUEEXkamsA7UgBA+oo4IicFLBPd33Dmmseq6cWm8W4BYxmmazus7MrzLt/T5k6qqzNR+XAjvGVuingkVQDWG5IALqIoM/DC51LTQPbFQEUm0C0U0BEbjp3OkY2BPD2vn5ceO/f8Nbe3qL+bj4sRwCz+9JoFNxHh4cQT6XRFPRh/Ig63foeq5htArHTBkaJAObfL2bHwe3O1uS8t7+f1y+JFhBmJhj4PBKYTVq+aSAskpIZoZURAYOxpCn7kGKpZBcwUHwDCEOVAnZLDaAwSjJfTW3XIGsAEUSu1gYmVXoTCKAWgG3aFHAgWx9rYANTz1PA2WtEJLcGULtMMQK4hqV/i7B/qTblsIEBBC/AXooAlgsSgC5CkiRbvACPDMV5FKvY2qOAjo9bvnmzs8a34g//9Hc4dnQjDg3EcMmv1uEv2/YX9beNsNIBDAD+7DYkDFKQLP173NgmSJJkbwSwQA1gOJ4qOc0PZJpW2MQENqvUCDPj4OLJNPb3KU/k7MY1mL2AB3wew+imiCRJpqxgxOhJc52Pd2OXMw0crUAXsLjsUn3bxCYQt6WAgfyNIMwDUJzKoW2GsysCKHYCa6N1LGWvfTjSXvNG6Fwjuodym0AA8BrAN/f24c3sA/GZ090oADOfpR1G0GL5EBttt783imSBaU1EcZAAdBlaD6xi2JUVSmNbQqaaJfTgEcBUmgsV7Rg4LRPb6vHkPy3A6dNGIZpI459++wZWaOrISkGJAJoUgAWaQJgAPH5sMwD9Dj+rxAqY1tqZ5geU6F9bHg9AhpKWM/67n/RGIOrSF7KpK9YBaKUJIWTCCuaI0AQiSRKPdpVXAGa7gCsVAazBFLAYAc8XcVZSwLlRTq0NTKn+h2IEMKcJJKA8mIkowkXdBKLqAi5QA9g1GIMsA586qhljWio7xs0OSq1bTqdlJQUsZA9GNwUVL8CB8nb+1yokAF2GHZ3AogVMsQSFmyNLwZiZBNEc8uOBZZ/GV//uaADAf6x+35aawKFYkkcLJppMAQcK2MAwC5jjxjAByJ7uSxeARlGyoM/DR0gV68cnYrb+DxAjgMZP2yz9y47DV3d2IxxPWvIAZJiKAIbV9VOs4aGUTuBDA1E89vpuw0gnEyTBsgpAwSi9hA5gQB0dc0sXsCRJppqODvMUsF4NoMYIutQIYJ0i0IxsYLQPK4ZNIAW6gAFgXGudKm3ttu5fRgMvW0kVZZElPgCID0Yej8SzFnvJCqYskAB0GXaYQX+cPZnMpkr1UHVxZiMmQyZFgM/rwfcXz8CY5hBkGThsw9MdmwE8siGQY+lgBIsAGtUAshFwzJSViZCSUsBcXOifepIk8YugHXY/Zi1gAHOF+UwAzjt6JCaMrEM8mcarO7otjYFjKFZC5iKAgBLtYpGhYvjZ6g9w8/9tw6ot+3Rfr4QRdFPIlxkH6JFKOg8B9dQKt9QAAuY6gdnn3KYSgNksCK8BVGYBl4KYAm7VXEPqDCaXcBuYPD6ARgLQ65G4RRbgzvo/oPSsBXvQlaRc6yWaCVxeSAC6jCYeASxehDAfu5ENxVtP6BXxD2nG+RSiwYYRQgyl/s98NIU9feulgA8PxNA1GIMkAdPHZAWgjSlgoyYQwF4rGLMWMIByk8uXkmWmrBPb6nnE4oX3DyoWMJYigCwFbD4CaEcK+O1P+gDAcMQUi0ixwv9y0BD04SdfnIW7Lp1TctROTAG7pQYQMGc7xKL6o0SRm93GeDKNWDLFa3j9JaaAmRl0S50/Zwa08SxgrRG0ehKILMtCI5NaAAJK+n9UUxCfGtdS0vpXi6DPw2tzi7lm8QYQv5dPSmFwM2iygikLJABdRqMm/VEMxURrtOgV8VtdboONQofV/00aaUEA+oxrAFn939FtDTxdxyIEpYiPQilgwN55wMWkgPN1ILMI4MSR9Vh4XCZisea9Q7wey6z4B8RpIPkigOxhhaWAM/92FWkFk0rL2HEoY2NjtH/Z+pTTCBoAvnDSeCyePa7k5aiiYy4SgKwGNF8EkH3O4jaKgnkgmrStC5id39puXUB8OFJfK8K87jlbA5hNI4fjKcSSKQzGFCNrbRMIoNhjLTp+dI74cQuSJJV0LWeBg3qdY3f+MW348mcmuFYcOx33XC0IALn1L8VQTLRGj4DPg0gixUWN2RQwQ/G8szMCaD6dxmqGkjo1gNoGEECMANowCSRPtILX1NjgBWgpBWyhBnDiyHrMmzISDQEvDg3EsOGjHgBAowVDY8VMXP/vsRsokJsC7ilyHNzeI2HlgcXgHFIigO7wY2sIeBHweRBPpodtClisAfR6Mm4Ig7EkBqNJHgHMd06ZYVT2b4xuDua8xm1rUmkkU2keIRziNjCZ/d4U8sEjAWk5c50QO8r1jqd/PG0K6vxeLFswuaR1rzaNQR/6Iomi/EsVC5jc/bNkzlFYMueokteP0IcigC6DueCXIprsiAACwg08K2qMJoEYYYd/FIOlCCZaiQDmqQFUBKAylH2Ejsu/VfgkkDwmw6yj0M4uYCspYKMbsizL2N2t7Oegz4tTjx0FAFj9zgEAxTWBRA0igExoez0Sf/BhkaBio7DM2BswPofY9rvFkFeSJIxpznSP6kWZnAqPqhk148RTfCa26AMIqB+E7bKBOX36KHzrrGNx8/nH566rIE4iOtOP2HHv8UiqaSBG9X+M9sYgbjh7muHrbqGhhBGWemPgiMpAe9xlNNnQBFJMx6Ye2nnA+XwA9WgIFk45moU9eZoZQ8bw5akBVBpAlAig6AMoy3JRA9srmQLuiyR4pPgoG2oA+yIJXnjPIooLjx+NZ985wG/UjZZSwPkjgNwDsN7P02PsRllsCvjDQ4oAHDDYv5WwgbGb2y/+FN7a24eZ45oLv9khFDIeZ/V/AZ8n51ql+KEmbGsCCfq8uOHsaQaveSBJmVngkXgKTSE/UmmZHyti9Kq13o+eoTh6wwl+bXO7wCtEKdcs7TxlonKQAHQZdtjAFOPZpgevAeRdwMaj4PSws9YtVkTUhtvAJNUp4FgyhZ3ZUXmqFHD2Ih5PZsaeFfPEasazzK4mEBb9a28MmFrXUIEawD09mXTy6KYgj4hojWtZhNoMhWxgjugY6LaV2ATy4aEB/v/BqH4q320RQAA49dhRPBrrFgqNHlQaQII5D1s8AhizLwKYD0mSUO/3Yiie4usrRujFh97M8TqE3nCcP4BpjaWHG6Vcs/LVABLlhVLALoOdaP0GNy8z8AhgifVChilgk1EgO7tdo0XctI2MoD88OIhkWkZLnR9jBWPWhoCXF5oXawVjrgaQpVNKS40zwXaUifo/INOFBwARg4gcq/8TrStGNQUxe0Ir/95KE4j2+NGi7QAGBB/AIm1gdhwqnALmdVtl7AImCncBKw0gueJJNMS3ywi6EFozaFaj6/NIqvOZWcgcCScMx8ANN0qp5xa7gInKQlc4l6Gdg1kMdqWAA5p5wIUmgWhhF40hGwyPWSomlKe2TovRLGCx/k+MPGTGwTGj1+IiUKZSwAF7I4Bm6v8A5QZnVJMlNoCInHWcEgW0koIPGnRWMrQegICSShuKpyzPA04LHcCAcRlFMQ8ThHXqDMyVGXoNIAxxGohiBF3eLlpt04o4B1i8TqhrADMPim6qzSyG0lLAuVNAiMpAAtBllGoELcuy5W5dI4I+e2oA7YgAcusOGyKA2w/k1v8xuM9X0RHAwh2LvDmmxNpIKxYwQOEmEL0IIKA2sLVkBF0oAshunkL0pDnk48Ldahr4k76IarqKUQ2gG1PAbsRsDaC2AQTIHAeA1gamzBFATdOK0XVUvEawbvVSPFfdAHvwKyoFrDMHmKgMJABdRlOJXcCRRIrPci09BazUcMWSKe53VQ0fQB4BtODdFuA+gOoawF1dGUuZY0Y15vxOa4mdwIUmgQD2dUdbsYABlBuycQ2gfgRwxthmniq3UuweLNAEohjoKjdPcR5wt8VGENYAwn5/MJaELOdaADEbHDc1gbgRJQWs//nreQAyWApY9NmrlABkDxHsAU1bu8YeWHqFCODIhtxtGE6UUrYSFiKpRGUhAegySo0Ast/zSKXf4MQIjnjim+3msqsJRJZlbiViLQWceW8qLatmWO7qNp6VPEJn2LsVzKWA7YmMWk0Bs0hGXyShK4yMUsCSJOHuS+fghkXT8Nmj20yvXyEbmB6dJhBAuZl2W/QC3JG1gDkxW7Moy/rzlqMVGAVHiBFn/eO8K18KWOwCzh4/pU4CKYQ2BTykmQLCaNGpARzuEcBSruVDZANTNUgAugzeBRxPIl3E4G3RA7AYGxMRVsMVS6S5WAn5PTljlIxo0BRVF0s8lQbTK0FLKWBl+1kaOJlK80jXZF0BWNo8YCsp4FKEsSzL2JeNAE4wKQCnjm6E3yuhazDOxR4jmUpjX29meXpei/OmtOFbi461NM2gkA2M0QgtlhK0GgH84GAmtf+po1rgza6n3j6mGsDKYDRejZEvBcxSjv1RJQIYrFAEkK2vkX2JODLS6CFmuFFKQ1+Ez1Om863SkAB0GezCJ8vF1YjZ1QACqGsAi1muXRFAsYmgmAggACSzYvqT3igSKRlBnwdjm0M5v1NyCthEF3CjDTWA/ZEkr3E7qtVcCrgu4MWcbHRs/Ufdqtf290WRSssI+DwY3WRPOquQDQy/eTZoI4DFWcGwFPC0jiYhgqTex4lUmh8LFAEsL4VrADOfr14EkKeARSNoX3mbQFiEStsEoo0AjhD8QtkxqtfJPJwopQuYIoDVgwSgywj6PDxyVczJZqcAFLuArTaAiOtQaqqT1dVJkuLtZwZRALJxUrv4SLl63WgWS+UU2wRixrLCjlFwe7gHYNDSSLPPTsmkcNdnR7sxeAPIiDrbZpYyEWzUBarXBQwAbdkUcJeFFLAsKx3Ax3Y0GvppimIkRDYwZaWugO1Qvi7gppCYAq5ME0hIUwMYNvA9ZQ+JXYMx9EWoC7gQ+UbBEeWFrnAuQ5Ik5eZVRB0gN4G2YWaoWANodQwcYN/MW7EBxEpa2+uRwLQMiyJ0ZhtAJhvMFC49Ali4BpBdCEuJjFqt/2MoArBbVQdoVP9XCuyGahgBNEgBs2hKj4UU8IH+KAZjSfg8Eia3NRhO1IkW+TBBWCef7VAileZlFro+gEIEt1JdwFrj6kGD5oVWjVOAJCnXjeGKLUbQJAArDl3hXEij4IJvFXtTwMoN3OoUEEA981av6cAsxTSAMLTzgFkHsF4DCGBDDaCJLmA7IqNWLWAYJ00cgYDXg/19UXzcrdQBlkMA5rOBicRTXNjbkQJmM4AntzeoRosNxtSfY1ToAC61RpbITz7bIRb99Uj60TPRCJr7AFaoCSTKm0CMbGDU69ta5+c1p8OVUrqAWU1lqbPpCeuQAHQhbNxWMRFAuzwAAW0XsPVCXnbCp2XjOiAzlFK0z8fBZQvJO7MpYL0GEMDOLmATKeBEqqhGH8C6BQzDqA7QyAOwFJQUcG4EkEX/Al5PTpE9m6rQZUUAsvTv6Iy1T6PgIycSoQ7giqHtqhXpFpon9MSTaIjPRjmWO2Jbp7FJMqpdqwt4Vef3cB8DB5Q2oGCIUsBVgwSgC2kyKGA3w0ARtXpGiD5uRgXR+chEWTL/LyXdqUwBsX4B8XMvQGsp4GJm0cqybCoFzMS5XIIwLjYFDACfnTISgFoA7q1wCpjPAW7w50TieArYQg3gjuwMYC4ADWqWqAO4cuQbBXfEoAGI0SgIDpYBKLsPIO9a1hrf5x4revOrhzOip6vVbE6YmkCqBglAF6I8bVlPQ9obARRTwNaX6/FIfP5jKXWA7KadL6pmBB8Hl0wjkUpjTzZyZpwCVlJPyZR+7ZoR4si5fCngkN/DaxOLTQMXmwIGlDrAdUIdIE8Bt1UmBZzPPoM1gVixgWEp4KkdTQBgWAOoTAGhS2O5yTcKzqj+kyGOHGRi0V/uUXAa38JwntGXrA4QGP4NIIAiAJNp2bCm14ghg1pKovzQVc6FGKWvzMCbQGzuAh6MFxdZtMMKppSojTgObu+RCFJpGXV+Lzqa9a1OmMkrAPRGrAlw8cKYT6xKklSSrYIsy0WngAHgpEmZOsCD/TF0dofRH03wmscJRSzPCNFHUouRByAAjMxGAMMm5wHLspybAi7QBWylc5oojnw1gD0GHeCMoM/Lrz/92WtapWoAWcSSN4EUEIBWpuO4FbH5z8pDa0oQjFQDWHlIALoQo5uXGQZZs4bNXcDF2MAA9jQ8RJMsBWz9cBZrAFn6d1JbvWEDgM/r4XNIrdYBikKnUL0SrwMswiS7L5Lgx0YxEcCQ34s5E1sBZNLAzBi7rSFg60XaVARQ5+bZFPTx/ddtIhV/eCBjx+GRlMguq6PVNlLFqAawYog+gNq0Yb7Pn9GsuYZVrgZQPQmksUAKuBYEoNcj8f1jpRFEHDtJEcDKQwLQhZQyDo6ljW2pARSMoPNdDPNRz7rHSjA9tisCuKtA/R+D3ZSsdgLHhW7FQh2mbL8UI/JZ9G9UU7DoWjbRDmZPGRpAAKEGUC8CmCcCpJ4HXLgOkEX/JrU18L9pdA5FqAawYrCImizn1oGyzz9f/Zw2i1EpGxjeBcybF/QigLUlAAHlnjJgoTSJiWmPVFwJD1EatMddSClNIEyoNdlcA1hMEwigpA6KsQ9gsKhNKE9jhRFsekAilS7YAczgXoAWG0FiFmoVS4mMMsFWTPSPwRpB1u3s5nYwdjaAAOoHCC2sBswoAsQFoInP4MPsCLip2fQvoBz/OSngePENRYQ1QsJ5oG0E6TYRAWRWMIyyzwLWpKzz1T2PqLEaQEB5+LcWAcxawARKH01KWIcEoAspJQU8YGcTiD83BWx1ubakgBPFp4B9HiUFrHgA5hc6I+qLmwZipgOYwYVxESngUur/GCdNHIGAz4NDAzG8/OFhAOUTgPFUGimN3c2Rocy+HVnvz/k9QOkENtMIoq3/AwpHACkFXH58Xg9P22rrAJUaUP3PH1A3ggAVaALRzC4P5zEwVtUADvMxcAx2Tlm5lvMGEJoDXBVIALoQboJaTA1g1MYUsFexgeE1gBZb+avdBBIQUsA8AlgoBVzkNBAzHoCMhhKE8b7ejAA8qrX4CGDI78WJWT/AV3dk7GDsFoDi5xXXRAEL1YC1cTNo8yngYzsEAcjTVUY2MHRprARsP2sFYA97AGgwnjutfdgMessrIsSuZVmWeQpYvwtYSAHXSASwmMY1soCpLq64yq1YsQKzZs1Cc3MzmpubMX/+fDzzzDMAgM7OTkiSpPv1xBNPGC5TlmV8//vfx9ixY1FXV4dFixbhww8/rNQmlYQSvSjGBiabArajCcSvRHCKTgEH1U/VxaBMAik+BTwUS2JfAQsYRqsw7N0KZqaAMBRn/SKivNmoVqtB9MwsrA6QYXcNoCiEtY0gvAvUSABm58OaSQHzGcCjm/jPGg2slKIUAawo2s5aBhP2+cRTbgq4vBHAer/SmBVJpMCC1nrXvFprAgGKy+aQCXR1cYUAHD9+PO68805s3rwZmzZtwsKFC7FkyRK88847mDBhAvbv36/6uvXWW9HY2Ijzzz/fcJn/8R//gV/84he4//77sWHDBjQ0NODcc89FNBqt4JYVh1H9khmKFWp68BrARHGj4ACxBrD0FLAZYaWFFY7vPDyEtJwZTzeqyTjqACgXd8tdwFZSwCV8xsynrFQRoxWAdnoAApkUIJvyoJ0GwmsADQSA0gSS/zPoHoyhZygOSQKOGaVTA6hNAWeFSIhuSBWBHaOinY8sy7wEYISlFHB5b2ehgBKtFM9LvfNsRI3ZwADFXbMiQg0gUXlcsdcXL16s+v7222/HihUrsH79esycORNjxoxRvb5q1SpccsklaGxshB6yLOPuu+/G9773PSxZsgQA8Otf/xodHR34wx/+gC9/+cvl2RCbKLYLOJ3On7awimjjkcw+DlsZBZd5v40p4GKaQLI3DdYoMKmtoWAx8ggeASxfCph9PsVERtlFtVQvuxMntiLg8yCeTMPvlTCmOVTS8vQI+TwYiqdUEcCMACgQATQ5D5ilfyeMqFftD3GShCzL/DPn0eQijiXCOnXZG7+YAh6Kp3jHfFueFLBWAPrKPG+XCT1ZVmpUGwJeeHT+LitdCPk9NRPdUspWzF+zqAawurgiAiiSSqXw2GOPYWhoCPPnz895ffPmzdi6dSuuvvpqw2Xs2rULBw4cwKJFi/jPWlpaMG/ePKxbt64s620njUV2AYcTKTC7LTsngUQTxU0CAUpLdTJKGQXHagA/yI4KK5T+BUqwgbFSA1iCETQTjaVGAEN+L07K+gGOH1FfloH23AxaqAEciCX5A4VRBJCngPPYwKTTMh7fuAeAugEEUI7TREo9uYB1AZMRdGWoYzWAwoNOTzaqG/J78n4OogA0Y61UKuL51JU97vRMoAFgSnsDrlwwGd8597ia6W5t5NZV1m1gakUkOw1XRAABYNu2bZg/fz6i0SgaGxuxatUqzJgxI+d9DzzwAI4//ngsWLDAcFkHDhwAAHR0dKh+3tHRwV/TIxaLIRZTbjj9/f1WN8MWWO3LYDyJdFrWfQLVg4ksr0eypcg9qFPAXewkkGK6XRlKDWDxo+D29GTq/yYX6AAGSkkBsxpAMyng4oUxi4jacVH97JQ2rP+ox/b6PwYTw2IKkEX/6vxeQwFQyAZGlmXc9ud3sWrLPngk4CvzJ6leF1NOg7Ekf3igGsDKwmsAhc+fj4Er0Dwh1gCW2wQaULqW46k0F4BGD7ySJOGWC2eWfZ2chJLNsRABzOOlSJQf10QAp0+fjq1bt2LDhg249tprsWzZMrz77ruq90QiETz66KN5o3+lcMcdd6ClpYV/TZgwoSx/pxDsyVeWM1E9s7CIYUPAa8tTqfaiK0nWRYcdNjAxG4ygGYU6gIESmkCykSYzNyujLuCPu4cKCk+7IoAAsHT+ZCyZMw7XnTm15GXpEdKJABZqAAGA9sb8KeCfrN6Oh1/rzPz/i7Nx5vTRqtc9Hkk3kk4CsLLo1QDy9H8B+xQxAlhuCxgGE6yHB7IRQIpccYq5lis1gLQfq4FrBGAgEMDUqVMxd+5c3HHHHZg9ezbuuece1Xt+//vfIxwOY+nSpXmXxWoGDx48qPr5wYMHc+oJRZYvX46+vj7+tWfPniK3pjSCPg+vd7FSB8hOTG33XNHroYm4FWPmaWcTSFERQE061lQKWIgAakdY5cNaF3BuPc36j7px1s9ewlUPb8z7u3bOsx3ZEMA9Xz4RJx89suRl6cHrSIUmkCPcBNr4OGUp4HA8hS/d/xqeevMTnmK/78Ud+OXanQCAf7/oU/j7ueN1l9GkU0sbsfAZEaXDx8EJGQBuAl0gAihG38rdAMJggrUrm6am+bUKRXUBMy9F2o9VwbV7PZ1Oq9KxQCb9e+GFF2LUqFF5f/foo4/GmDFjsGbNGsyZMwdAJp3LootGBINBBIP5O0QrgSRJaAz50BtOZOstzBXnDxZZp2eENpJltQEEEEfBlZACLqUJRJM+LzQFBFBuTImUjKF4yvT+tOQDGFCPyBuMJfHtJ95EMi1jZ7axwQi7mkAqgd48YOYBl08ANAZ9uHLBZPzv+o+xsfMINnYewaimID47pQ1/evMTAMC/fu54XPHZSXmXAahHV5ERdGXh83X1IoAFumfFB9lKCUAW8SuUAq5FimnoY7OA6+l8qwqueMxdvnw5Xn75ZXR2dmLbtm1Yvnw51q5di8svv5y/Z8eOHXj55Zfxta99TXcZxx13HFatWgUgI6Cuv/56/PCHP8RTTz2Fbdu2YenSpRg3bhwuuuiiSmxSybALT7+FCCBPAdvUceXzelSdd8U8DdsyCaQUH0DhxtEU9OWdPcqoC3i5cLEyDq4UG5jbn36PT/jQmuZqYa8z3zInIzYSMcwKgFsunIlXb16Ib511LEY3BXF4IMbF3/WLjsU1p03J+/t63fRsPdwgnocD3Fw5rlMDWODzbxZSwJWaIxvyqwUgpYAV+LXcwlx39uBPEcDq4Iq9fujQISxduhT79+9HS0sLZs2ahdWrV+Pss8/m73nwwQcxfvx4nHPOObrL2L59O/r6+vj33/nOdzA0NIR//Md/RG9vL0455RQ8++yzCIXst7ooB5mn30hRKeBGm1LAQObCm4wX5wEI2GUDU4IPoHDjmNxe2AKGMaI+gAP9URwJx003SPAmECs2MLEUXtx+CL97fTd/LZGSkUildaMesixzAch8y5yMOE6QUcgDUKSjOYQbzp6G6xZOxep3DmDVG/swd/IIXHv6MQV/V2+kYilTZQjraOfrAkoXcKEmkMZQFVLAFAE0pBgbmEhcqUsnKo8rjt4HHnig4Ht+9KMf4Uc/+pHh69paLUmScNttt+G2224ref2qQTFm0EoK2L6TLej38qe4Ysw8xRpA0Y/NCqXctMUbh5n0L6O13p8VgOYbQWIWhCq7mPZG4rj5ybcAAF/57ET87/qMEAzHU2ipy11OLJnmVj9u6KzjZuJCEwhLcVsx0PV7Pfj8rHH4/Kxxpn+nKZR7DkVsbKAhChPSE4C8BtRCCrjMU0AYPAU8EM9+7/xzrFI0cBsYqgF0C84PERC6FGMGbXcNIKCuAywmBcwuGmlZLQKswJtAiqgBDAjdg0dbmHRRjBUMM7c1lQIOKKnRg/0xTGlvwL9+bgbvdgwbpFlE42g3iBgmhpmI39jZg7++exCSBCw8bnS+Xy0ZvS7gCEUAK4oyCi63BKBQOUZDwAtWgVKpCCA7LrqHWASQjhMGj6hbuCdRDWB1IQHoUoyG2efDzjFwDDGaVczFUOvHVgyKDUzxo+AAaxFA1qFqqQYwYaEJRPiMPBLws0tmoy7gVYrmDZpmmIAJ+DxlMW62m5AQAUym0vi3P7wNAPjyZybgU0e1lPVvNwazfpq6KWC6NFYCPRsYZu1TKAIoSYqVTyV8AAElAphIsclHFLlisH0RSaSQSptzR1BqAEkAVgO6yrkUFgEciJpPQXIbGDsFoK+0CKDHI/GLarGNIHY1gVhLAVufBmKlBrBeiG5ce8YxOHHiiOzPsxdZIwHosuHqvAYwkcZvN+zG+wcG0FLnx03nHlf2v62NoqfTylQQN0RPhwN5jaBNlACwNHCgQk0g2uOCUpcKYmbJbCMIzQKuLrTXXYrRMPt8DEbLEAEU0pnFppbrAz6E4ylLxcOMVFrmT+NFCUDhxnG0CRNoBpsHbCUFbMUGRpIkfPOsY7HvSATfOmsa/zkTdoYRwLi7BAzbF5/0RvDA3z4CAHz73OmW6v+KRVtHGxUaUagLuDLUaXwAk6k0+iKZhypzAjDzGVa6CYRBKWAF5k+bTMsYiiXRbKLZcMhlD6zDDRKALkWvgL0QvAYw5JwIIJC5iHYNWrMPYIipo2LSdqwGsKXOXzDlJDKiqAig+RpAALh+0bScn9VxAWhUA5hUvc/pMNH++zf2IpWWMXNcM/7h5IkV+dtKFD0rAAUrmmLqSQnraLuAeyMJ3sTUWldYQCgCsEKTQLQRQIpccSRJQkPQh75IwnQ2J0xNIFWFUsAupZQaQFubQGwQgKVYwagEYDFNINn1t5L+BcQUsJUIYOlTJliqpFANoNsigKxm6LYln6pY7aJiA5MR8WL9pNn52kRpcB/A7L5nNbUtdX74TET1eA1ghQS7NlJFNjBqlHOqcDYnkUrzxjiygakOdPS6FOblp00B9wzFEfR5dMVYOQSgGAEsNh1Syji4qDBft5ib9t9NbcffTW3Dlz9jLeqkpICLsIEpoV6prmAKOPtE7ZILqhgN/eLc8Zg7aUTF/najJopOFjCVJ6Rpauox2QHMYDWAlYoAastM3HKeVQrm6mDmWi5ewyiSWh1or7sUxcJCESAfHR7EkvteRUdzCM/feHrO75RHACoXwOIjgNmbQBE1gNESZ7eObgrht1/7rOXfY+liaxFAaylgPeq5bYb+BdZtNiYsbd8U8uG755W/8UNEW0cbdVn0dDigTQGb7QBmsBRwpbqAc2sA6RYq0hBUl1Xkg5Wr+DxSxZp4CDV09LoUbQ1gMpXGjSvfxEA0iYHoIAaiCZVRKlCmJhBBeBXbyWVHCrjSgkfxATQfAYxbaAIxolAEMOyyCODZMzrw7NsH8NVTjsaopsrO2dZGAMkCpvJoR8FZ6QAGKt8FrD2vyAZGjZXRntwE2iXXquEIHb0upUljYfGrlz/C1j29/PWD/bEcAchtYBzXBFJCCpiZQFf4ps1SwIOxJOLJtKkbkB01gNwyx0AAui2KNX5EPR7/+vyq/G2tEbTboqfDAW0EkM+BNjEGEAA+P2ssNnb2YPFs8xNgSkF7XpF9iRpezmOioY9bwJCIrhr0qOtSxCaQ9/b34+7nPwCQCacDwMH+qOr96bSsjGwrWwq4uBsnq/8YLKILmJtAV7hrsznk5z59Zq1gYrxesfh1beA+gPkngdTRjakgTVkj6FgyjXgyrdQAUkSiYjBBlUxn5lt3W0wBf+qoFjx57QJ8ZvLIsq2jiPa8IgNjNVayOWQBU31IALoUMX1148o3kUjJOHtGB+ZNyVwItQJQfCIrVxdwscttLKUGsAQT6FLweCS0NWZSlocGYqZ+h9cAlhABLNgE4rIIYDURH1iGYkneUEQWMJUjFFDOhUgiZXoMXLUQz6uAz1Mx/0G3wLJL5ppAmACkh9VqQUevS2HRC1kG3tvfjxH1fvzo4hPQ0RwCABzQCED2ROb3SiXVoGmxIwXc4MIUMACMbcnu675ogXdmYNHKUva/0gQyPLqAq4nP6+E39MFYktehUQSwcgS8Hh5Jj8ZT6MnW1Frx5Kwk4nlFDSC5KF3AhR/mqQaw+pAAdCkhv3rW6+0Xn4BRTUGMyQrAQ/3qqBQTVw1BHyTJPssEWyaBlNAEEqtSBBAA39f7+00KQBu6gOsK+AC6zQi62ohm0BQ9rTySJCnjDRMp9AxlrlsjGwqbQFcD8TpTbMnLcMZKCphqAKsPCUCXIg5CXzJnHD53wlgAUCKAmqgUK3S3+6mVpTO9nuIjizwFbCBq8hG1wVuvWMbwCGCk4HuTqTSSWbPjkiKAftYEYmQD465RcNVGHAdXqqUQURwhoRHkyBAbA1fZjnCziNEqagDJxVIXMNUAVh06gl3MlQsm443dR3DrhTP5z4xSwCzcbrsAzIqZhoC36Mgiu5CWYgMTrEYEMCsA95tIATPHe6DESSDBQilgigBaQamlTVAEsErUZesAI/EU9wE02wVcaepUEUC6fWqxci13m2XVcISOYBdzw9m5s2KZKDmUUwOYebK2WwCyJpBSlmuLDUwVCvdZDaC24UYP5gEIlGZaWygFzEQMXVTNIVrBkACsDmx/HwnH+WcwwqEpYPHBis6xXCx1AceoCaTaUK5jmNHRrHSmprMpR0BJAdv91Mrq2UpZbn1JArB65r1jmusAmIsAsvo/n0cyNePUCN4EkjCqASQvOys0CjcsNqqPoqeVhQnAfUcypRQBr8exDRZBnwcs0eHUdawmVh7mw7wGkM63akECcJgxqjEIScr4ajFPLUA5IRttNIEGhBRwSRHA/ObG+aiWDQwg1gBGIcty3vcycVHqxII6PjvVoAaQ0iqWaBQM1SMknqsC29/7ejMPUiMa/LY2qtmJJEn8HKTIVS6N3Aam8LWcbGCqDwnAYYbP60F71p9OTE3yOcA2n2zzjh6JGWOb8fdzxxe9DNEGppCQ0hKrog0M6wIOx1PoLzD7kk8BKVEAMmFn5JlIKWBriE0gNAmkOrCI677eTARwhEPr/xjs3GqkyFUObJ+YM4Kma1W1IQE4DGHCRC0As00gNkcARzeH8JdvnYorPjup6GWwJ8BkWuapUrNEqzQJBMjcuFqzI+EKeQHaYQEDKGI5nEjpimWKYllDtIFx2xi94QLb359kBWBbo7MFIDu3qAkkFysP82FmTUYRwKpBAnAYwuoAD6gEYHmaQOygQXgC1GtuyHcxiVY5ajPGoOtaix1zgAElWpJKy6rOYoaSAnbe5+xE2LxsdQSQLouVRCsA3RIBJAGYC9snZh7meRcwRVKrBl3phiEdPAKomEGXywbGDnxeD7/paouH39vfj9m3/hU/fPo93d+t5iQQwLwXYMwmv8J6QejqWcFQJ6s1eBMIRQCrRigrqFjGYqRDp4Aw2PHRQKnLHMRoXqE0MNnAVB8SgMMQLgCFtCQ3grY5BWwXjQb2Aes/6kYyLWPzx0d0fy/KI2vVuYiMNekFaFcK2Of1cBsZbbQ0nlTMpqmT1RxNIZ0aQNp3FYUJKmZa4HgBmD0+6h34MF1tvB6lSaZQJ/AQNYFUHRKAwxBeAzigiBJxFJwTYRcB7UVjd08YADAQTej+XvVTwBkrGPM1gKWfcuwGpO0EFq1hKIplDu4DGEtW1VOyltFGgJwuAD8/axymjGrA/Clt1V4VR2LWC5A1slENYPWgPT8MGc1qAPtyu4CbHCoAefGwJqq1hwtA/YuJctOuzrMMiwBWqgYQyNww+yKJnAggSwn7PFLJdjO1gpICTvBjiaKnlUX78Ob0GsCvfHYSvlJC09twpzHoRddgYSsYbgNDNYBVw5lqgCiJMToTKgYdHgHkXoCGEUAjAVjdCGCH4AWYD7tSwIBgBaMVgFTDZhmxCzjF0ue0/yqKdn+3OTwCSORH8QI0jgDKskw1gA6AwgTDkI6mjCg5Ek7wyBP3AXSoAKzXmSEpyzIXgJFECgmdrlcmrKolAK3WAJYyBo7B9pW2CSRMc4At0xRUuoCrOVWmltEeryNIALoadk71G5TtAJnZ6KxemWoAqwdd6YYhrfV+ngI8lO0EHow6WwDqjRA6PBjjaTlA2QaRat+0WbS1L5LQ7cplxBL2pYDrDCKAvIuVBKBpWLQiHE8hTBHUqqDd306vASTy01KXEYB9EWMBKBrZUwSwepAAHIZIksS9AA/2R5FKyzw96NQuYDYPUhQ1e3rU1ip6aeBqp4Cbgj5uB5GvDtDOJhB2wRzSNIGwfUcCxjziHFJmNUldwJXFbTWARH6YOX5vOI8AzF63Az4P/DZkRYjioD0/TBENisW0qlMHb+t1jrEGEIZeSqHanZuSJPE6wP15vADLUQOojTiy7ykCaJ6gz5vTMEMCurKIx2tT0EcNTC7HXASQWcDQuVZN6EwbpowWzKBZWjXg9dgiQMpBg44NzG6NANRGAGVZ5j6A1azbGmuiEcSuWcCAUjNj1ARCF1VriJ3xXo9EEYkKIwpuqv9zPy31hQUge5hvcmhGqlagK90wRZwHzBtAHHyyKTMkFVGTKwDVF5R4Ks3TdtUyggYUL8B8jSBxFgG0yQYGACJaH0BKAReFeF7Qvqs84j6n+j/3wyKA+VLA7DVK91cXEoDDFLEGULGAce7NTc8GplAEUGwQcUIE8KCpGsDSP4M6XgOo7QJmKWDnCn0nIjZGVauWtJapCyjnLglA99Nal/kM+/NEAI9kBSATi0R1IAE4TGHj4A70RYUOYOeebHwSSDy3BvCo1kyETVsDyDprJckee5Vi6TBhBWPXLGAAqPfnTwHXkY2JJdQCkPZdpQlRBHBYwSOAkbjhe3rDmdcoAlhd6Go3TGEC8NBATPAAdG50Q9sEEk2keFftjHHNAIwjgCGfF5IkVWpVcxjbbL4G0I4C90IpYPLVskYTpYCrini8kgB0P2aaQFgKmHUME9WBBOAwZYxuBNC5woCtG/OH2tcbgSxnxM7R7Q0AcmsAndAAAihegHkjgHZ2AetY5gBKBJDSmNYQzwvqoK48qiYQigi5HjM2MCw62Eqfd1UhAThMYRHASCLFhUljyLlPW6w+kUUAWfp34sh63qWZGwF0huBhNYDdQzHe7KGlHD6ATPAxaLRScYhNINWyE6plxHOCxsC5n+ZsBDCWTPNrtBZWA9hKNYBVhQTgMKUu4EVz9sa28/AgAHekgFkNIBOAE0bW8xSdYQq4ygJwZEMAAa8HsgwcGtCPAto6CcSvP2uTpYRJAFpDrI0lE+jK4/FIPIpPNjDupynogydbkWPUCNLHuoAbSABWExKAwxgWBVQEoHNTwA2aFPBuMQIY0p8tyZ4u7YiqlULGDDrTdW1UB1gOI2hKAduDugaQLonVgKWBR5IgcD0ej8SjgL0GAvBItgmEdQwT1cEVV7sVK1Zg1qxZaG5uRnNzM+bPn49nnnlG9Z5169Zh4cKFaGhoQHNzM0477TREIsaTGW655RZIkqT6Ou6448q9KRWF1aZ9dHgIgCKynEhjthA8nkojnkxrBKCzU8AAMLaAF2CcUsCOhWxgqs9p00bhqNY6TB/TXO1VIWygtUAjCDWBOAPnKgKB8ePH484778Sxxx4LWZbxyCOPYMmSJdiyZQtmzpyJdevW4bzzzsPy5cvxn//5n/D5fHjzzTfh8eS/2c6cORPPP/88/97nc8XuMM3oJqUOEHB2BLBeSE8PxZLYnZ0DPHFkPb8p5zaBsBRw9Z9jxhTwAqzEJJBogoygi0HVBEL7rirc8+UTkU7L8Hiq181P2EchM2hmA0NNINXFuYpAYPHixarvb7/9dqxYsQLr16/HzJkzccMNN+Cb3/wmbr75Zv6e6dOnF1yuz+fDmDFjbF9fpzAmm5ZkOFkA+r0eBHwexJNpDMaSqhpAJmycHAEs1AnMU8A2rKvRLOAwzQIuClUTiAOOpVqFxN/woSUr7PQigPFkmpvYj6AIYFWpfujEIqlUCo899hiGhoYwf/58HDp0CBs2bMDo0aOxYMECdHR04PTTT8ff/va3gsv68MMPMW7cOEyZMgWXX345du/enff9sVgM/f39qi8nw2oAGU4eBQcoAnXvkQjvBh4/og7N2RpArQBkjRVO6NwcU8ALkAlAOwyr6/kkkCRkNgsPohF09feHm2giGxiCsBUlAphrBs0sYCQJvL6bqA6uEYDbtm1DY2MjgsEgvvGNb2DVqlWYMWMGPvroIwCZmr5rrrkGzz77LE466SScddZZ+PDDDw2XN2/ePDz88MN49tlnsWLFCuzatQunnnoqBgYGDH/njjvuQEtLC/+aMGGC7dtpJ1oB6OQaQECxgnn/QEZYj2kOIeT38hrASCKFREqxWVG6gKt/GI/lEUD9ulNbu4CzIkWWFWEJkBF0sZANDEHYS0td5pzS6wLuE8bAeSnqW1Wqf+c0yfTp07F161Zs2LAB1157LZYtW4Z3330X6XTmBvj1r38dV111FU488UTcddddmD59Oh588EHD5Z1//vn40pe+hFmzZuHcc8/FX/7yF/T29mLlypWGv7N8+XL09fXxrz179ti+nXaiFYBNTheAWeHy3v6MAJw4sh6AuktzUIgCOikFzMbBFe4Ctq8GEFDXAfIIYMA1p7UjUBtB074jiFJh3b16KWDyAHQOzlYEAoFAAFOnTgUAzJ07Fxs3bsQ999zD6/5mzJihev/xxx9fMKUr0traimnTpmHHjh2G7wkGgwgGg4avO40xLksBswjl+wcyUdjxIzOdtT6vB/UBL8LxFAaiSe4VpkwCqb4AZBHAQwMxpNKy6slWlmVbbWC8HonXS4bjST4+S6kBdPbn7DQaaRQcQdhKSx4bGGoAcQ6ufdxNp9OIxWKYPHkyxo0bh+3bt6te/+CDDzBp0iTTyxscHMTOnTsxduxYu1e1arQ3BiBG2BscLgyYANyeFYAsAggoUUDRC5ClgO1Iq5bKqMYgPBKQTMvoHoypXosLaWu71rVB0wiSSsvcaoZEjDWaBCNoO5p0CKLWaak3toEhCxjnUP07pwmWL1+Ol19+GZ2dndi2bRuWL1+OtWvX4vLLL4ckSbjpppvwi1/8Ar///e+xY8cO/Nu//Rvef/99XH311XwZZ511Fu69917+/be//W289NJL6OzsxGuvvYaLL74YXq8Xl112WTU2sSz4vB60NyoRyyanRwCzooZFy9QCMLcRJOqgJhCf18Ntd7SdwOJ4OLtMq1kamHXTiZ6A5ANojZDfA1/2SYnEM0GUTj4bGNYEQnOfq4+zFUGWQ4cOYenSpdi/fz9aWlowa9YsrF69GmeffTYA4Prrr0c0GsUNN9yAnp4ezJ49G8899xyOOeYYvoydO3eiq6uLf793715cdtll6O7uxqhRo3DKKadg/fr1GDVqVMW3r5yMaQnh0EAmIuX8JhD1+pmNADohBQxk6gAP9Eexvy+K2UJ/kNioYUcXMKA0goSz499YJFCSqj8ZxW1IkoTGkA+94QQJQIKwAVbfp9cEckRoAiGqi7MVQZYHHnig4HtuvvlmlQ+gls7OTtX3jz32WKmr5QoyUak+BH0e+G0SH+VC61NYMALIawCdsV1jm0N4E7lm0GIDiCTZ0/Wm9QJk/9b5vbb9jVqiMZgRgE55mCAIN8NSwPo1gNk5wBQBrDrOuHMSZYOZQTvZBJrRIEwDCfo8GNWUm74Wp4HEHNQFDBibQbP1DNgYmWORqrAmBUwRrOL4zOSRaAz6MK2jsdqrQhCup0UYBSd6lQJiEwhFAKuN81UBURId2bo0p3cAA2p7k4kj61WRrGadecBO8gEElE7gAxovQDs7gBksXc4ifywVTEbGxfHzS2Yjlkw75mGCINwMs4FJpWUMxVOqAAQ1gTgHZ9w5ibLB/Omc3gEMqKOUYvoXEFPAYg2gc5pAgDwRQBs9ABl1wjQQgCKApSJJEok/grCJkN/D652100COkA2MYyABOMw5aeIIBLwenDSptdqrUhCxCWSCVgAGcyOATFg55cbNx8FpawBtnALCqNemgPkUEGfsC4IgahdJkgytYNj3NAe4+jg/LESUxNTRjdjy/bNdIQwahHXMjQDqpYDtF1alMK41Y1y9vzeKdFrmw+3LkQLOaQJxWD0kQRC1TUudH4cHYnz0G4NHAOsoAlhtnHHnJMpKQ9Dnis7QBhMpYJUNjIMmgQCZGkCfR0I8lcbBASUKGC9LCjizr8K8BpAigARBOIfWutwIYDSR4rXbrQ0UAaw2JAAJx6ASgG1mIoDZFLBDagB9Xg+OGpGJAu7uDvOfl6MGkE8CSWT2B4uG1rug1pMgiOGP3jg41gDi9UiOn01fC5AAJByD2AQyYYSFJhCHpIABZb1394gCkKWq7ROqvAkkpo4AOiUaShBEbaNXA8imgLTW+V2RlRrukAQnHMP4EXVorfdjUltDjp1Jc51OE4jDJoEASvPKnp7yRgDrNSlgagIhCMJJtOikgI8MZaeAUAOIIyABSDiGhqAPf/vuQt1xac2aSSCptIx4ynkCkNUuqiKAZTCCrtekgLkNDAlAgiAcgN484D6aA+woSAASjsJoYgmrAYwkUkik0kiklPm6TkoB6wrAMvoAaiOA5ANIEIQT0JsHzOYAt9IcYEdAApBwBaIwHIwmIQ4XstNepVQUAahMAynLJBCWAtbUAFIEkCAIJ6DMA1aMoJUpIBQBdALOCZ0QRB58Xg9Pew5Ek7wBxO+V4PU4p5iYCcCuwRiPyvEmkHJEAHkKOPMv1QASBOEEmM+fqgmE5gA7ChKAhGtgaeD+aMJxY+AYLfV+Prd4z5FMGpj7ANo5CURrBE1dwARBOIhmnRpA9n+aAuIMSAASrkE0g2YegHZaq9gF8zBkXoDlnARCRtAEQTiRVh0bGDYFpIVSwI6ABCDhGkQzaGUKiPMOYW0jCLOrKUcKOJJIIZ2WeUSUmkAIgnACrAt4IJpEKp2p2u6lOcCOwnl3T4IwoEmwgok6ePat1gy6HDWAzAdQljMj8agJhCAIJ9EidPqyTuBemgPsKEgAEq5BiQAmBBNo5x3CWjPostjACMI3HE8pPoAOFMQEQdQefq+Hj6zs4wKQdQFTBNAJOO/uSRAGNIspYIc2gQA6KeAy1AB6PRIXv5F4SpgEQs5OBEE4A3EesCzLJAAdBglAwjWI84CVGkBnC0BZloVZwPaebuI4OIoAEgThNFizR18kgUgixac30SQQZ0ACkHANTUExAujcFPC41jp4pEzk7/BArCxNIIAi9obiSRoFRxCE42jJznDvDcf5FBC/VyK3AofgvLsnQRjQpJMCdqINTMDnwdiWOgAZL0D21Gv3xBJ2ET0yFIecHY1CApAgCKfAmj36IwnBBDoASXKOeX8tQwKQcA16PoBOrAEE1GngckUA67MR0e4hZdQSpYAJgnAKrAawL5JQ6v9oDrBjIAFIuIbmOj0bGGcewlwAdkfKVwOYFXvdgxkBGPR5HDUWjyCI2oY1e/SGE8IUEKr/cwrOvHsShA6iDYyTm0AAYRpIT7gsXcCAkgLuGYoBoPQvQRDOolmIACpTQCgC6BRIABKuQawBdLIPIKD2AmQCMGB3E0hAHQGsd6gYJgiiNhFtYPpoCojjcObdkyB0aNabBOLQGsAJIzJNIJkaQPsngQBKBLArWwMYogggQRAOQpwHfGRIaQIhnAG5xhKugUUAI4kUBmNJAA5OAWcjgAf6o2BlefangLNNIIOx7PfO3BcEQdQmvAkknOBzgMkE2jlQBJBwDY1B5Xnl8EBG9Dg1BTyyIcDHIGXnoJctAtiTfbKmDmCCIJwEs4HpE21gaA6wY3Dm3ZMgdPB5PVz0HM5GvZzoAwgAkiTxOkCG/ZNA1DWAdTQGjiAIB6FnA0M1gM6BBCDhKlgaWIkAOlMAAkoamBHw2t0EktkXzGi6zqHRUIIgahPW8RtJpHBwIAqAagCdBN0xCFfRJDSCAEDI5rSqnYgC0OeR4LNZAGpr/uopAkgQhINoCvrAhn580ssEIEUAnYJz754EoQOLADIcHQFsUwSg3fV/QK4AdPK+IAii9vB4JO7ekMoWQ5MRtHMgAUi4ChYBZDhZ9Ig1gHZ7AAK5ET/qAiYIwmloI34UAXQOJAAJV5EbAXTuISymgO22gAFyBR91ARME4TRahNm/Ib/H0Q/ttYZz754EoUOzi1LAR7XW8foXuzuAgdzRbzQKjiAIpyEKQLKAcRYkAAlXkZMCdugkECAjTjuaQgAqUwNIEUCCIJyGSgBS+tdRkAAkXEVuBNDZhzBLA5clBeynGkCCIJyNKPpIADoLZ989CUKDNgLoVCNoxgQuAMsQAQxSCpggCGcjRgCpA9hZuEIArlixArNmzUJzczOam5sxf/58PPPMM6r3rFu3DgsXLkRDQwOam5tx2mmnIRKJ5F3ufffdh8mTJyMUCmHevHl4/fXXy7kZhA24qQkEECKAZVhPSgETBOF0xLo/igA6C2ffPbOMHz8ed955JzZv3oxNmzZh4cKFWLJkCd555x0AGfF33nnn4ZxzzsHrr7+OjRs34rrrroPHY7x5jz/+OG688Ub84Ac/wBtvvIHZs2fj3HPPxaFDhyq1WUQRiBFASbJ/uobdfOqoZgDAmOY625etrX+kCCBBEE5DXQNIEUAn4YrRAYsXL1Z9f/vtt2PFihVYv349Zs6ciRtuuAHf/OY3cfPNN/P3TJ8+Pe8yf/7zn+Oaa67BVVddBQC4//778fTTT+PBBx9ULYdwFmIEMOTzQmJttg5l4XGj8eg18/Cpo1psX7bHI6HO70UkkQJANYAEQTiPZlUXMEUAnYSzwyc6pFIpPPbYYxgaGsL8+fNx6NAhbNiwAaNHj8aCBQvQ0dGB008/HX/7298MlxGPx7F582YsWrSI/8zj8WDRokVYt26d4e/FYjH09/ervojKohKADk//AoAkSVhwTDt3w7cbUfTV+V3xPEcQRA0hpn2pBtBZOP8OmmXbtm1obGxEMBjEN77xDaxatQozZszARx99BAC45ZZbcM011+DZZ5/FSSedhLPOOgsffvih7rK6urqQSqXQ0dGh+nlHRwcOHDhguA533HEHWlpa+NeECRPs20DCFKKQcrIHYKUQG0EoBUwQhNMQU8AtVAPoKFwjAKdPn46tW7diw4YNuPbaa7Fs2TK8++67SKfTAICvf/3ruOqqq3DiiSfirrvuwvTp0/Hggw/aug7Lly9HX18f/9qzZ4+tyycKo44AkuARrWAoBUwQhNOgCKBzcU3OKBAIYOrUqQCAuXPnYuPGjbjnnnt4vd6MGTNU7z/++OOxe/du3WW1t7fD6/Xi4MGDqp8fPHgQY8aMMVyHYDCIYDBYymYQJdIYVA7ZcliruA0x6keCmCAIp0FG0M7FtXfQdDqNWCyGyZMnY9y4cdi+fbvq9Q8++ACTJk3S/d1AIIC5c+dizZo1quWtWbMG8+fPL+t6E6Xh83p4pIsEjzrqRxFAgiCcRp3fi/bGIAJeDzqaQ9VeHULAFRHA5cuX4/zzz8fEiRMxMDCARx99FGvXrsXq1ashSRJuuukm/OAHP8Ds2bMxZ84cPPLII3j//ffx+9//ni/jrLPOwsUXX4zrrrsOAHDjjTdi2bJl+PSnP42TTz4Zd999N4aGhnhXMOFcmkI+hOMpVzSBlBsm+nweCX6HW+IQBFF7SJKEx/5xHgZjKVU0kKg+rhCAhw4dwtKlS7F//360tLRg1qxZWL16Nc4++2wAwPXXX49oNIobbrgBPT09mD17Np577jkcc8wxfBk7d+5EV1cX//7SSy/F4cOH8f3vfx8HDhzAnDlz8Oyzz+Y0hhDOoynkx8H+GEUAAdQHMqcwNYAQBOFUpo5uqvYqEDpIsizL1V4Jt9Lf34+Wlhb09fWhubm52qtTM1z8y1exZXcvzps5BvdfMbfaq1NVbn7yLTy2cQ9GNwXx+r8uKvwLBEEQBN2/4eIaQKJ2YdNAKAWsRP6o/o8gCIKwAt1BCdfRnLWCoRQwqCGGIAiCKAoSgITrUCKAJHpYDSBFAAmCIAgrkAAkXMf4EXUAgFFN5MnIhB81gRAEQRBWcEUXMEGILFswGRNH1mPhcaOrvSpVZ0zWV6ujify1CIIgCPNQF3AJUBcRUW2SqTRWv3MQnzl6BEaTCCQIgjAF3b8pAkgQrsbn9eCCWWOrvRoEQRCEy6AaQIIgCIIgiBqDBCBBEARBEESNQQKQIAiCIAiixiABSBAEQRAEUWOQACQIgiAIgqgxSAASBEEQBEHUGCQACYIgCIIgagwSgARBEARBEDUGCUCCIAiCIIgagwQgQRAEQRBEjUECkCAIgiAIosYgAUgQBEEQBFFjkAAkCIIgCIKoMXzVXgE3I8syAKC/v7/Ka0IQBEEQhFnYfZvdx2sREoAlMDAwAACYMGFCldeEIAiCIAirDAwMoKWlpdqrURUkuZblb4mk02l88sknaGpqgiRJti67v78fEyZMwJ49e9Dc3Gzrsp0AbZ/7Ge7bSNvnfob7NtL2FY8syxgYGMC4cePg8dRmNRxFAEvA4/Fg/PjxZf0bzc3Nw/LEZtD2uZ/hvo20fe5nuG8jbV9x1Grkj1GbspcgCIIgCKKGIQFIEARBEARRY5AAdCjBYBA/+MEPEAwGq70qZYG2z/0M922k7XM/w30bafuIUqAmEIIgCIIgiBqDIoAEQRAEQRA1BglAgiAIgiCIGoMEIEEQBEEQRI1BApAgCIIgCKLGIAFoEy+//DIWL16McePGQZIk/OEPf1C9fsstt+C4445DQ0MDRowYgUWLFmHDhg2q91x44YWYOHEiQqEQxo4diyuuuAKffPKJ6j1vvfUWTj31VIRCIUyYMAH/8R//kbMuTzzxBI477jiEQiGccMIJ+Mtf/uKK7YtGo7jyyitxwgknwOfz4aKLLtJdl7Vr1+Kkk05CMBjE1KlT8fDDD5e8fZXaxrVr12LJkiUYO3YsGhoaMGfOHPz2t7/NWRe3fobbt2/HmWeeiY6ODoRCIUyZMgXf+973kEgkyr59ldpGkR07dqCpqQmtra05r7n1M+zs7IQkSTlf69evHxbbB2SmQPz0pz/FtGnTEAwGcdRRR+H2229XvcfN15lbbrlF9zNsaGhQLcfNn+Hq1avx2c9+Fk1NTRg1ahT+/u//Hp2dnar3lOszHC6QALSJoaEhzJ49G/fdd5/u69OmTcO9996Lbdu24W9/+xsmT56Mc845B4cPH+bvOfPMM7Fy5Ups374dTz75JHbu3IkvfvGL/PX+/n6cc845mDRpEjZv3oyf/OQnuOWWW/Bf//Vf/D2vvfYaLrvsMlx99dXYsmULLrroIlx00UV4++23Hb99qVQKdXV1+OY3v4lFixbp/p1du3bhggsuwJlnnomtW7fi+uuvx9e+9jWsXr26pO2r1Da+9tprmDVrFp588km89dZbuOqqq7B06VL8+c9/Vr3HrZ+h3+/H0qVL8de//hXbt2/H3Xffjf/+7//GD37wg7JvX6W2kZFIJHDZZZfh1FNPzXnNzZ8h4/nnn8f+/fv519y5c4fN9n3rW9/C//zP/+CnP/0p3n//fTz11FM4+eST+etuv858+9vfVn12+/fvx4wZM/ClL32Jv8fNn+GuXbuwZMkSLFy4EFu3bsXq1avR1dWFL3zhC6r3lOszHDbIhO0AkFetWpX3PX19fTIA+fnnnzd8zx//+EdZkiQ5Ho/LsizLv/zlL+URI0bIsViMv+e73/2uPH36dP79JZdcIl9wwQWq5cybN0/++te/XsSW6FOu7RNZtmyZvGTJkpyff+c735Fnzpyp+tmll14qn3vuuabW3SyV2EbG5z73Ofmqq67i3w+Xz5Bxww03yKeccgr/vhLbJ8vl38bvfOc78le+8hX5oYcekltaWlSvufkz3LVrlwxA3rJli+HvuHn73n33Xdnn88nvv/++4e8Mt+vM1q1bZQDyyy+/zH/m5s/wiSeekH0+n5xKpfh7nnrqKdV7KvUZuhmKAFaBeDyO//qv/0JLSwtmz56t+56enh789re/xYIFC+D3+wEA69atw2mnnYZAIMDfd+6552L79u04cuQIf482enbuuedi3bp1ZdqaXIrdPjM4YfsAe7exr68PI0eO5N87YRvt2r4dO3bg2Wefxemnn85/5oTtA0rbxhdeeAFPPPGEYZTDCdtY6md44YUXYvTo0TjllFPw1FNPqV5z8/b96U9/wpQpU/DnP/8ZRx99NCZPnoyvfe1r6Onp4b/nhO0D7DsP/+d//gfTpk1TRaudsI3Fbt/cuXPh8Xjw0EMPIZVKoa+vD7/5zW+waNEi1f2y2tvndEgAVpA///nPaGxsRCgUwl133YXnnnsO7e3tqvd897vfRUNDA9ra2rB792788Y9/5K8dOHAAHR0dqvez7w8cOJD3Pez1clLq9pnBaPv6+/sRiURK3oZC2L2NK1euxMaNG3HVVVfxnw2Hz3DBggUIhUI49thjceqpp+K2227jr1Vz+4DSt7G7uxtXXnklHn74YcMB9W7+DBsbG/Gzn/0MTzzxBJ5++mmccsopuOiii1Qi0M3b99FHH+Hjjz/GE088gV//+td4+OGHsXnzZlWKcThdZ6LRKH7729/i6quvVv3czZ/h0Ucfjb/+9a/4l3/5FwSDQbS2tmLv3r1YuXIlf0+1P0M3QAKwgrBahNdeew3nnXceLrnkEhw6dEj1nptuuglbtmzBX//6V3i9XixduhSyS4a1DPftA+zdxhdffBFXXXUV/vu//xszZ86s1Cbkxa7te/zxx/HGG2/g0UcfxdNPP42f/vSnldyMvJS6jddccw3+4R/+Aaeddlo1Vr8gpW5fe3s7brzxRsybNw+f+cxncOedd+IrX/kKfvKTn1Rjc3IodfvS6TRisRh+/etf49RTT8UZZ5yBBx54AC+++CK2b99ejU3Kwc7rzKpVqzAwMIBly5ZVavULUur2HThwANdccw2WLVuGjRs34qWXXkIgEMAXv/hFV91Pqk61cs/DGZioe5BlWZ46dar8ox/9yPD1PXv2yADk1157TZZlWb7iiity6uJeeOEFGYDc09Mjy7IsT5gwQb7rrrtU7/n+978vz5o1y9I25KNc2ydiVAN46qmnyt/61rdUP3vwwQfl5ubmgutjhXJv49q1a+WGhgb5V7/6Vc7vDJfPkPGb3/xGrqurk5PJpCzLldk+WS7fNra0tMher5d/eTweGYDs9XrlBx54QJbl4fcZ3nvvvfKYMWP4927evu9///uyz+dTvSccDssA5L/+9a+yLA+f64wsy/LChQvliy66KOfnbv4Mv/e978mf/vSndd+zbt06WZYr9xm6GYoAVhH2JJrvdQD8PfPnz8fLL7+sstR47rnnMH36dIwYMYK/Z82aNarlPPfcc5g/f77dq18Qq9tnBidtH1DcNq5duxYXXHABfvzjH+Mf//Efc37HSdtox2eYTqeRSCT4e520fYD1bVy3bh22bt3Kv2677TY0NTVh69atuPjiiwE4axvt+Ay3bt2KsWPH8u/dvH1/93d/h2QyiZ07d/L3fPDBBwCASZMmAXDW9gHFf4a7du3Ciy++mJP+BZy1jVa3LxwOw+NRyxev16t6r5O2z7FUW4EOFwYGBuQtW7bIW7ZskQHIP//5z+UtW7bIH3/8sTw4OCgvX75cXrdundzZ2Slv2rRJvuqqq+RgMCi//fbbsizL8vr16+X//M//lLds2SJ3dnbKa9askRcsWCAfc8wxcjQalWVZlnt7e+WOjg75iiuukN9++235sccek+vr61VRpFdffVX2+XzyT3/6U/m9996Tf/CDH8h+v1/etm2b47dPlmX5nXfekbds2SIvXrxYPuOMM/jfZHz00UdyfX29fNNNN8nvvfeefN9998ler1d+9tlnS9q+Sm3jCy+8INfX18vLly+X9+/fz7+6u7v5erj5M/zf//1f+fHHH5ffffddeefOnfLjjz8ujxs3Tr788svLvn2V2kYtel3Abv4MH374YfnRRx+V33vvPfm9996Tb7/9dtnj8cgPPvjgsNi+VColn3TSSfJpp50mv/HGG/KmTZvkefPmyWeffTZfD7dfZxjf+9735HHjxvHou4ibP8M1a9bIkiTJt956q/zBBx/Imzdvls8991x50qRJcjgclmW5vJ/hcIEEoE28+OKLMoCcr2XLlsmRSES++OKL5XHjxsmBQEAeO3asfOGFF8qvv/46//233npLPvPMM+WRI0fKwWBQnjx5svyNb3xD3rt3r+rvvPnmm/Ipp5wiB4NB+aijjpLvvPPOnHVZuXKlPG3aNDkQCMgzZ86Un376adds36RJk3T/jnZd5syZIwcCAXnKlCnyQw89VPL2VWobly1bpvs3Tj/9dNW6uPUzfOyxx+STTjpJbmxslBsaGuQZM2bIP/rRj+RIJFL27avUNmrRE4Dl2sZKbN/DDz8sH3/88XJ9fb3c3Nwsn3zyyfITTzwxbLZPlmV537598he+8AW5sbFR7ujokK+88krVQxhbF7deZ2Q5I3THjx8v/8u//Ivhurj5M/zd734nn3jiiXJDQ4M8atQo+cILL5Tfe++9nHUpx2c4XJBkmSomCYIgCIIgagmqASQIgiAIgqgxSAASBEEQBEHUGCQACYIgCIIgagwSgARBEARBEDUGCUCCIAiCIIgagwQgQRAEQRBEjUECkCAIgiAIosYgAUgQBFEh4vE4pk6ditdee62q6/Hss89izpw5fGwWQRC1BwlAgiCK4sorr4QkSTlfO3bsqPaqOZb7778fRx99NBYsWMB/xvbb+vXrVe+NxWJoa2uDJElYu3at6v1/+MMfcpZ95ZVX4qKLLjK1Hueddx78fj9++9vfFrMZBEEMA0gAEgRRNOeddx7279+v+jr66KNz3hePx6uwds5ClmXce++9uPrqq3NemzBhAh566CHVz1atWoXGxsayrc+VV16JX/ziF2VbPkEQzoYEIEEQRRMMBjFmzBjVl9frxRlnnIHrrrsO119/Pdrb23HuuecCAN5++22cf/75aGxsREdHB6644gp0dXXx5Q0NDWHp0qVobGzE2LFj8bOf/QxnnHEGrr/+ev4evQhYa2srHn74Yf79nj17cMkll6C1tRUjR47EkiVL0NnZyV9n0bKf/vSnGDt2LNra2vDP//zPSCQS/D2xWAzf/e53MWHCBASDQUydOhUPPPAAZFnG1KlT8dOf/lS1Dlu3bs0bAd28eTN27tyJCy64IOe1ZcuW4bHHHkMkEuE/e/DBB7Fs2TLDfZ+Pzs5O3ejsGWecwd+zePFibNq0CTt37izqbxAE4W5IABIEURYeeeQRBAIBvPrqq7j//vvR29uLhQsX4sQTT8SmTZvw7LPP4uDBg7jkkkv479x000146aWX8Mc//hF//etfsXbtWrzxxhuW/m4ikcC5556LpqYmvPLKK3j11VfR2NiI8847TxWJfPHFF7Fz5068+OKLeOSRR/Dwww+rROTSpUvxu9/9Dr/4xS/w3nvv4Ve/+hUaGxshSRK++tWv5kTsHnroIZx22mmYOnWq7nq98sormDZtGpqamnJemzt3LiZPnownn3wSALB79268/PLLuOKKKyxtO2PChAmqqOyWLVvQ1taG0047jb9n4sSJ6OjowCuvvFLU3yAIwuXIBEEQRbBs2TLZ6/XKDQ0N/OuLX/yiLMuyfPrpp8snnnii6v3//u//Lp9zzjmqn+3Zs0cGIG/fvl0eGBiQA4GAvHLlSv56d3e3XFdXJ3/rW9/iPwMgr1q1SrWclpYW+aGHHpJlWZZ/85vfyNOnT5fT6TR/PRaLyXV1dfLq1av5uk+aNElOJpP8PV/60pfkSy+9VJZlWd6+fbsMQH7uued0t33fvn2y1+uVN2zYIMuyLMfjcbm9vV1++OGHDffXt771LXnhwoU5P2fbc/fdd8tnnnmmLMuyfOutt8oXX3yxfOTIERmA/OKLL6reHwqFVPu9oaFB9vl88pIlS3KWH4lE5Hnz5smf//zn5VQqpXrtxBNPlG+55RbDdSYIYvjiq6b4JAjC3Zx55plYsWIF/76hoYH/f+7cuar3vvnmm3jxxRd169p27tyJSCSCeDyOefPm8Z+PHDkS06dPt7ROb775Jnbs2JETaYtGo6p058yZM+H1evn3Y8eOxbZt2wBk0rlerxenn3667t8YN24cLrjgAjz44IM4+eST8ac//QmxWAxf+tKXDNcrEokgFAoZvv6Vr3wFN998Mz766CM8/PDDeevz7rrrLixatEj1s+9+97tIpVI57/3qV7+KgYEBPPfcc/B41Emfuro6hMNhw79DEMTwhQQgQRBF09DQYJjyFMUgAAwODmLx4sX48Y9/nPPesWPHmu4eliQJsiyrfibW7g0ODmLu3Lm6Ha6jRo3i//f7/TnLZbYodXV1Bdfja1/7Gq644grcddddeOihh3DppZeivr7e8P3t7e1cYOrR1taGz3/+87j66qsRjUZx/vnnY2BgQPe9Y8aMydnvTU1N6O3tVf3shz/8IVavXo3XX39dN/Xc09Oj2icEQdQOVANIEERFOOmkk/DOO+9g8uTJmDp1quqroaEBxxxzDPx+PzZs2MB/58iRI/jggw9Uyxk1ahT279/Pv//www9VUayTTjoJH374IUaPHp3zd1paWkyt6wknnIB0Oo2XXnrJ8D2f+9zn0NDQgBUrVuDZZ5/FV7/61bzLPPHEE/H+++/niFeRr371q1i7di2WLl2qik4Ww5NPPonbbrsNK1euxDHHHJPzOouInnjiiSX9HYIg3AkJQIIgKsI///M/o6enB5dddhk2btyInTt3YvXq1bjqqquQSqXQ2NiIq6++GjfddBNeeOEFvP3227jyyitz0pYLFy7Evffeiy1btmDTpk34xje+oYrmXX755Whvb8eSJUvwyiuvYNeuXVi7di2++c1vYu/evabWdfLkyVi2bBm++tWv4g9/+ANfxsqVK/l7vF4vrrzySixfvhzHHnss5s+fn3eZZ555JgYHB/HOO+8Yvue8887D4cOHcdttt5laTyPefvttLF26FN/97ncxc+ZMHDhwAAcOHEBPTw9/z/r16xEMBguuN0EQwxMSgARBVIRx48bh1VdfRSqVwjnnnIMTTjgB119/PVpbW7nI+8lPfoJTTz0VixcvxqJFi3DKKafk1BL+7Gc/w4QJE3DqqafiH/7hH/Dtb39blXqtr6/Hyy+/jIkTJ+ILX/gCjj/+eJ5WbW5uNr2+K1aswBe/+EX80z/9E4477jhcc801GBoaUr3n6quvRjwex1VXXVVweW1tbbj44ovzmi9LkoT29nYEAgHT66nHpk2bEA6H8cMf/hBjx47lX1/4whf4e373u9/h8ssvz5u2Jghi+CLJ+fIRBEEQVeaMM87AnDlzcPfdd1d7VXJ45ZVXcNZZZ2HPnj3o6Ogo+P633noLZ599Nnbu3FlWk+dCdHV1Yfr06di0aZOucTdBEMMfigASBEFYJBaLYe/evbjlllvwpS99yZT4A4BZs2bhxz/+MXbt2lXmNcxPZ2cnfvnLX5L4I4gahrqACYIgLPK73/0OV199NebMmYNf//rXln73yiuvLM9KWeDTn/40Pv3pT1d7NQiCqCKUAiYIgiAIgqgxKAVMEARBEARRY5AAJAiCIAiCqDFIABIEQRAEQdQYJAAJgiAIgiBqDBKABEEQBEEQNQYJQIIgCIIgiBqDBCBBEARBEESNQQKQIAiCIAiixiABSBAEQRAEUWP8/6fu/SU6YNHtAAAAAElFTkSuQmCC",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_list = np.linspace(13300,13380,95)\n",
    "exp.freq_scan(\"Doppler\", freq_list, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eed20fd1-2ea1-4487-8171-baf26753a38f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202207\\20220722\\FreqScan-20220722140945.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "da080158717543fd8322517c55bb0613",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_list = np.linspace(13480,13370,110)\n",
    "exp.freq_scan(\"Doppler\", freq_list, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2edc0adc-bd6f-4d5e-a0b1-8b9374550c2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202207\\20220722\\FreqScan-20220722141256.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d49ea737c6084a7d91cba6290165609c",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_list = np.linspace(13480,13360,110)\n",
    "exp.freq_scan(\"Doppler\", freq_list, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4accbd3-4a24-45fb-8f63-d235ad54a931",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202207\\20220726\\FreqScan-20220726180409.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a54bf31113e04967952cb47d16de6673",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_list = np.linspace(13380,13350,15)\n",
    "exp.freq_scan(\"Doppler\", freq_list, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "977f20fd-e10c-4464-86e8-55ef824a50ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py\n",
    "\n",
    "f=h5py.File(r\"D:\\Data\\2022\\202207\\20220720\\FreqScan-20220720144540.hdf5\",\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ccdf214a-9a14-49d0-8832-d2643bdb4767",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Counts', 'Frequency']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(f.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "89c75681-e1b8-4cd2-bce6-8d65c0846612",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c0457877559a403091884700e056ec9f",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.array([sum(f['Counts'][i]) for i in range(len(f['Counts']))])\n",
    "plt.figure()\n",
    "x = [i for i in f['Frequency']]\n",
    "plt.plot(x, data/100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe3a0b5d-c5d1-417a-bb0f-32051033f6d5",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Optimize Detection & Pumping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "810f545b-b6ac-4659-804e-c51e2a310f71",
   "metadata": {},
   "outputs": [],
   "source": [
    "detection_time = 100\n",
    "pumping_time = 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fa818654-4257-413e-aa77-4b47c35d52ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "607e0c6fb0924382ab5f33eebe869c0f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d06dfbd2c8f44c3b9907c688d9f14d7",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=900.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.repeat = 100\n",
    "exp.state_flag= True\n",
    "exp.threshold = [2,2,2,2]\n",
    "detection = exp.new_sequence()\n",
    "detection.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Detection(detection_time).on(all),\n",
    "    Zero(1).on(all))\n",
    "\n",
    "exp.sweep(sequence=detection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7e14ff86-57db-4890-8d06-c693304f346e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b365c5b3bc7e46b98eefd98603f433e9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a2c671e03d2842ec93a5df59935fddeb",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=900.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.repeat = 100\n",
    "exp.state_flag=True\n",
    "exp.threshold = [2,2,2,2]\n",
    "pumping = exp.new_sequence()\n",
    "pumping.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Pumping(pumping_time).on(all),\n",
    "    Detection(detection_time).on(all),\n",
    "    Zero(1).on(all))\n",
    "\n",
    "exp.sweep(sequence=pumping)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8f753cb-555d-4203-8e96-27ee7639dccb",
   "metadata": {},
   "source": [
    "# Microwave & Ramsey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e9ed1c86-c820-4746-bd1b-89e56107c20e",
   "metadata": {},
   "outputs": [],
   "source": [
    "microwave = exp.new_sequence()\n",
    "microwave.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Pumping(pumping_time).on(all),\n",
    "    Microwave(10,label=\"Microwave\").on(all),\n",
    "    Detection(detection_time).on(all),\n",
    "    Zero(1).on(all))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a19392ab-3d50-461f-987f-6125ff36ba49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202209\\20220914\\TimeScan-20220914162442.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "55e69d7ad83c48199bf0e4a323c1737e",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.repeat = 100\n",
    "time_scan_list = np.linspace(0.01,60,50)\n",
    "exp.time_scan(\"Microwave\", time_scan_list, sequence=microwave, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e6e859e5-6546-479a-935a-dd4430a1a16b",
   "metadata": {},
   "outputs": [],
   "source": [
    "Micro_pitime = 56.3/4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ea71016a-6d99-40de-b8d5-40665727400a",
   "metadata": {},
   "outputs": [],
   "source": [
    "MRamsey = exp.new_sequence()\n",
    "MRamsey.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Pumping(pumping_time).on(all),\n",
    "    Microwave(Micro_pitime/2).on(all),\n",
    "    Zero(1,label=\"Wait\").on(all),\n",
    "    Microwave(Micro_pitime/2).on(all),\n",
    "    Detection(detection_time).on(all),\n",
    "    Zero(1).on(all))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ed6a9e63-d723-4053-92a3-dffc4da671a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202209\\20220914\\TimeScan-20220914174639.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5097ced81e374f8e91fc16e5138c822d",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#355 Open\n",
    "exp.repeat = 100\n",
    "time_scan_list = np.linspace(1,20000,20)\n",
    "exp.time_scan(\"Wait\", time_scan_list, sequence=MRamsey, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "84ef4709-db0c-4095-a6aa-edaa191d6afa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202209\\20220914\\TimeScan-20220914174913.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "01a8f0ab727f42a887ecaf409a5ec6a6",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#355 Closed\n",
    "exp.repeat = 100\n",
    "time_scan_list = np.linspace(1,50000,20)\n",
    "exp.time_scan(\"Wait\", time_scan_list, sequence=MRamsey, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "850b08e9-ee36-489a-a8db-5aab0b3cc1c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Data\\2022\\202209\\20220914\\TimeScan-20220914175651.hdf5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec9f98a657594ca18f3d30d84d8acb3c",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#355 Closed\n",
    "exp.repeat = 100\n",
    "time_scan_list = np.linspace(1,50000,20)\n",
    "exp.time_scan(\"Wait\", time_scan_list, sequence=MRamsey, cycle=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9a707a00-5fea-4173-853e-4139a5af2cc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c5f183edd8245ceb2b4c6a00635276d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8eabbb2564c047e399d405ffd1c8bc20",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4QAAAGQCAYAAAD2lq6fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAI50lEQVR4nO3XMQEAIAzAMMC/5yFjRxMFfXtnZg4AAAA5bzsAAACAHYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQJQhBAAAiDKEAAAAUYYQAAAgyhACAABEGUIAAIAoQwgAABBlCAEAAKIMIQAAQNQH7bQHHAtCD+8AAAAASUVORK5CYII=",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=900.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "MRamsey = exp.new_sequence()\n",
    "MRamsey.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Pumping(pumping_time).on(all),\n",
    "    Microwave(Micro_pitime/2).on(all),\n",
    "    Zero(5000,label=\"Wait\").on(all),\n",
    "    Microwave(Micro_pitime/2).on(all),\n",
    "    Detection(detection_time).on(all),\n",
    "    Zero(1).on(all))\n",
    "\n",
    "exp.sweep(sequence=MRamsey)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "730a1c16-3c65-4c9a-968a-26867eb1db91",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "# Analysis Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0b2eb5ad-8a5e-4610-a12d-ba1157638c59",
   "metadata": {},
   "outputs": [],
   "source": [
    "exp.repeat = 10000\n",
    "detection_bright = exp2.run_once(sequence=detection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "38c7b0c7-d7c0-42aa-8270-023ed7aaad9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0.00630757, 0.00700841, 0.0119143 , 0.02693232, 0.04345214,\n",
       "        0.06838206, 0.09401282, 0.12124549, 0.13696436, 0.12244694,\n",
       "        0.10873048, 0.0865038 , 0.0680817 , 0.04034842, 0.02643172,\n",
       "        0.01481778, 0.00891069, 0.00410493, 0.00340408]),\n",
       " array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19]))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.histogram(detection_bright[2::4], bins=np.arange(20), density=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3c334b8f-201e-4f07-8d5f-49026132f078",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c8ce213d0834e24aaafb4b3f4da49d5",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "hist_bright = np.histogram(detection_bright[2::4], bins=np.arange(20), density=True)\n",
    "plt.bar(hist_bright[1][:-1]+0.5,hist_bright[0])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ed4a140f-cbed-4e1a-a029-417aed1f8aa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5e7a43244c904dfe9e0c984550f30404",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.hist(detection_bright[2::4],bins=np.arange(20))\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2226fa0e-8fab-4680-aa96-044a52a9fc3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f08f687c0cd446088c09c04cd92f024e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d2a40d596c4f49e8903820ebe7c769c2",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=900.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.repeat = 300\n",
    "pumping_sequence = exp.new_sequence()\n",
    "pumping_sequence.set_sequence(\n",
    "    Doppler(1000).on(all),\n",
    "    Pumping(50).on(all),\n",
    "    Detection(300).on(all),\n",
    "    Zero(1).on(all))\n",
    "\n",
    "exp.sweep(pumping_sequence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b5b87c7e-6bb4-43c6-a6c8-ae3b2c28a19c",
   "metadata": {},
   "outputs": [],
   "source": [
    "exp2.repeat = 10000\n",
    "detection_dark = exp2.run_once(sequence=pumping_sequence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "75134eb2-2548-457c-af40-f3363aa7a4c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3f2609060109427eb0bdf085dc8d8bf8",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAfuElEQVR4nO3df3RX9X348VcCJtHWBNuUBDA16qm/KkILJSc6T8/azGg5KGc/SqlHKLN0c3THNusO0Cqp88zQH+OwVSqtR7Q9PVbanWp3BgeHqbi1pmUjeKadUrEItJoA9ZhQmAnL537/+B4+bSQJPwwJ+bwfj3M+55ib933nfX17T57e5ANFWZZlAQBAMopHewEAAIwsAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkBgBCACQGAEIAJAYAQgAkJjxo72AsSyXy8Urr7wS5557bhQVFY32cgCAE5BlWRw8eDAmT54cxcVpPgsTgG/BK6+8EjU1NaO9DADgFOzduzfOP//80V7GqBCAb8G5554bEf//P6Dy8vJRXg0AcCK6u7ujpqYm/308RQLwLTj6Y9/y8nIBCABjTMq/vpXmD74BABImAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEjN+tBfA4GqXbRi2uV5eOXvY5gIAxjZPAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABJTUAG4Zs2aqK2tjbKysqirq4utW7cOOX716tVx6aWXxtlnnx01NTXx2c9+Nt54440RWi0AwOgomABcv359NDU1RXNzc7S3t8e0adOisbEx9u3bN+D4hx9+OJYtWxbNzc3x/PPPxwMPPBDr16+Pz3/+8yO8cgCAkVUwAbhq1apYvHhxLFq0KK644opYu3ZtnHPOObFu3boBxz/99NNxzTXXxMc//vGora2N6667LubPn3/cp4YAAGNdQQRgb29vbNu2LRoaGvLHiouLo6GhIdra2gY85+qrr45t27blg++Xv/xlbNy4MT7ykY8M+nV6enqiu7u73wsAYKwZP9oLGA4HDhyIvr6+qKqq6ne8qqoqXnjhhQHP+fjHPx4HDhyIP/iDP4gsy+L//u//4i//8i+H/BFwS0tL3HXXXcO6dgCAkVYQTwBPxZYtW+Kee+6Jr3/969He3h4/+MEPYsOGDXH33XcPes7y5cujq6sr/9q7d+8IrhgAYHgUxBPAysrKGDduXHR2dvY73tnZGdXV1QOec+edd8Ytt9wSn/zkJyMiYurUqXHo0KH41Kc+FV/4wheiuPjYNi4tLY3S0tLhvwAAgBFUEE8AS0pKYsaMGdHa2po/lsvlorW1Nerr6wc85/Dhw8dE3rhx4yIiIsuy07dYAIBRVhBPACMimpqaYuHChTFz5syYNWtWrF69Og4dOhSLFi2KiIgFCxbElClToqWlJSIi5syZE6tWrYr3ve99UVdXFzt37ow777wz5syZkw9BAIBCVDABOG/evNi/f3+sWLEiOjo6Yvr06bFp06b8G0P27NnT74nfHXfcEUVFRXHHHXfEr3/963jXu94Vc+bMib//+78frUsAABgRRZmfd56y7u7uqKioiK6urigvLx/2+WuXbRi2uV5eOXvY5gKAsex0f/8eCwridwABADhxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxBRWAa9asidra2igrK4u6urrYunXrkONff/31WLJkSUyaNClKS0vjkksuiY0bN47QagEARsf40V7AcFm/fn00NTXF2rVro66uLlavXh2NjY2xY8eOmDhx4jHje3t744/+6I9i4sSJ8c///M8xZcqU2L17d0yYMGHkFw8AMIIKJgBXrVoVixcvjkWLFkVExNq1a2PDhg2xbt26WLZs2THj161bF6+99lo8/fTTcdZZZ0VERG1t7UguGQBgVBTEj4B7e3tj27Zt0dDQkD9WXFwcDQ0N0dbWNuA5//Iv/xL19fWxZMmSqKqqiiuvvDLuueee6OvrG6llAwCMioJ4AnjgwIHo6+uLqqqqfserqqrihRdeGPCcX/7yl/GjH/0obr755ti4cWPs3Lkz/uqv/iqOHDkSzc3NA57T09MTPT09+Y+7u7uH7yIAAEZIQTwBPBW5XC4mTpwY3/zmN2PGjBkxb968+MIXvhBr164d9JyWlpaoqKjIv2pqakZwxQAAw6MgArCysjLGjRsXnZ2d/Y53dnZGdXX1gOdMmjQpLrnkkhg3blz+2OWXXx4dHR3R29s74DnLly+Prq6u/Gvv3r3DdxEAACOkIAKwpKQkZsyYEa2trfljuVwuWltbo76+fsBzrrnmmti5c2fkcrn8sV/84hcxadKkKCkpGfCc0tLSKC8v7/cCABhrCiIAIyKampri/vvvj29961vx/PPPx2233RaHDh3Kvyt4wYIFsXz58vz42267LV577bW4/fbb4xe/+EVs2LAh7rnnnliyZMloXQIAwIgoiDeBRETMmzcv9u/fHytWrIiOjo6YPn16bNq0Kf/GkD179kRx8e96t6amJh5//PH47Gc/G1dddVVMmTIlbr/99li6dOloXQIAwIgoyrIsG+1FjFXd3d1RUVERXV1dp+XHwbXLNgzbXC+vnD1scwHAWHa6v3+PBQXzI2AAAE6MAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASExBBeCaNWuitrY2ysrKoq6uLrZu3XpC5z3yyCNRVFQUc+fOPb0LBAA4AxRMAK5fvz6ampqiubk52tvbY9q0adHY2Bj79u0b8ryXX345Pve5z8W11147QisFABhdBROAq1atisWLF8eiRYviiiuuiLVr18Y555wT69atG/Scvr6+uPnmm+Ouu+6Kiy66aARXCwAwegoiAHt7e2Pbtm3R0NCQP1ZcXBwNDQ3R1tY26Hl/93d/FxMnToxbb731hL5OT09PdHd393sBAIw1BRGABw4ciL6+vqiqqup3vKqqKjo6OgY858c//nE88MADcf/995/w12lpaYmKior8q6am5i2tGwBgNBREAJ6sgwcPxi233BL3339/VFZWnvB5y5cvj66urvxr7969p3GVAACnx/jRXsBwqKysjHHjxkVnZ2e/452dnVFdXX3M+JdeeilefvnlmDNnTv5YLpeLiIjx48fHjh074uKLLz7mvNLS0igtLR3m1QMAjKyCeAJYUlISM2bMiNbW1vyxXC4Xra2tUV9ff8z4yy67LJ599tl45pln8q8bb7wx/vAP/zCeeeYZP9oFAApaQTwBjIhoamqKhQsXxsyZM2PWrFmxevXqOHToUCxatCgiIhYsWBBTpkyJlpaWKCsriyuvvLLf+RMmTIiIOOY4AEChKZgAnDdvXuzfvz9WrFgRHR0dMX369Ni0aVP+jSF79uyJ4uKCeOAJAPCWFGVZlo32Isaq7u7uqKioiK6urigvLx/2+WuXbRi2uV5eOXvY5gKAsex0f/8eCzwSAwBIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABITEEF4Jo1a6K2tjbKysqirq4utm7dOujY+++/P6699to477zz4rzzzouGhoYhxwMAFIqCCcD169dHU1NTNDc3R3t7e0ybNi0aGxtj3759A47fsmVLzJ8/P5588sloa2uLmpqauO666+LXv/71CK8cAGBkFWVZlo32IoZDXV1dfOADH4h77703IiJyuVzU1NTEX//1X8eyZcuOe35fX1+cd955ce+998aCBQtO6Gt2d3dHRUVFdHV1RXl5+Vta/0Bql20YtrleXjl72OYCgLHsdH//HgsK4glgb29vbNu2LRoaGvLHiouLo6GhIdra2k5ojsOHD8eRI0fiHe94x+laJgDAGWH8aC9gOBw4cCD6+vqiqqqq3/Gqqqp44YUXTmiOpUuXxuTJk/tF5Jv19PRET09P/uPu7u5TWzAAwCgqiCeAb9XKlSvjkUceiUcffTTKysoGHdfS0hIVFRX5V01NzQiuEgBgeBREAFZWVsa4ceOis7Oz3/HOzs6orq4e8tyvfvWrsXLlyvi3f/u3uOqqq4Ycu3z58ujq6sq/9u7d+5bXDgAw0goiAEtKSmLGjBnR2tqaP5bL5aK1tTXq6+sHPe/LX/5y3H333bFp06aYOXPmcb9OaWlplJeX93sBAIw1BfE7gBERTU1NsXDhwpg5c2bMmjUrVq9eHYcOHYpFixZFRMSCBQtiypQp0dLSEhERX/rSl2LFihXx8MMPR21tbXR0dERExNvf/vZ4+9vfPmrXAQBwuhVMAM6bNy/2798fK1asiI6Ojpg+fXps2rQp/8aQPXv2RHHx7x543nfffdHb2xt/+qd/2m+e5ubm+OIXvziSSwcAGFEF8+cAjgZ/DiAAjD3+HMAC+R1AAABOnAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIzPjRXgCjp3bZhmGb6+WVs4dtLgDg9PIEEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDECEAAgMQIQACAxAhAAIDEFFYBr1qyJ2traKCsri7q6uti6deuQ47///e/HZZddFmVlZTF16tTYuHHjCK0UAGD0FEwArl+/PpqamqK5uTna29tj2rRp0djYGPv27Rtw/NNPPx3z58+PW2+9NbZv3x5z586NuXPnxnPPPTfCKwcAGFkFE4CrVq2KxYsXx6JFi+KKK66ItWvXxjnnnBPr1q0bcPw//uM/xvXXXx9/+7d/G5dffnncfffd8f73vz/uvffeEV45AMDIGj/aCxgOvb29sW3btli+fHn+WHFxcTQ0NERbW9uA57S1tUVTU1O/Y42NjfHYY48N+nV6enqip6cn/3FXV1dERHR3d7+F1Q8u13N42OYaaI2ne/4rmx8ftvmfu6tx2OYCIG1Hv2dlWTbKKxk9BRGABw4ciL6+vqiqqup3vKqqKl544YUBz+no6BhwfEdHx6Bfp6WlJe66665jjtfU1JzCqkdWxWrzA8DvO3jwYFRUVIz2MkZFQQTgSFm+fHm/p4a5XC5ee+21eOc73xlFRUUjvp7u7u6oqamJvXv3Rnl5+Yh//ZHmegub6y1srrewjbXrzbIsDh48GJMnTx7tpYyaggjAysrKGDduXHR2dvY73tnZGdXV1QOeU11dfVLjIyJKS0ujtLS037EJEyac2qKHUXl5+Zi44YaL6y1srrewud7CNpauN9Unf0cVxJtASkpKYsaMGdHa2po/lsvlorW1Nerr6wc8p76+vt/4iIjNmzcPOh4AoFAUxBPAiIimpqZYuHBhzJw5M2bNmhWrV6+OQ4cOxaJFiyIiYsGCBTFlypRoaWmJiIjbb789PvjBD8Y//MM/xOzZs+ORRx6J//qv/4pvfvObo3kZAACnXcEE4Lx582L//v2xYsWK6OjoiOnTp8emTZvyb/TYs2dPFBf/7oHn1VdfHQ8//HDccccd8fnPfz7e8573xGOPPRZXXnnlaF3CSSstLY3m5uZjfixdqFxvYXO9hc31FrbUrrcQFGUpvwcaACBBBfE7gAAAnDgBCACQGAEIAJAYAQgAkBgBeIZbs2ZN1NbWRllZWdTV1cXWrVuHHP/9738/LrvssigrK4upU6fGxo0bR2ilb01LS0t84AMfiHPPPTcmTpwYc+fOjR07dgx5zkMPPRRFRUX9XmVlZSO04rfmi1/84jFrv+yyy4Y8Z6zubUREbW3tMddbVFQUS5YsGXD8WNvbf//3f485c+bE5MmTo6io6Ji/UzzLslixYkVMmjQpzj777GhoaIgXX3zxuPOe7P0/Uoa63iNHjsTSpUtj6tSp8ba3vS0mT54cCxYsiFdeeWXIOU/lnhgpx9vfT3ziE8es/frrrz/uvGNxfyNiwHu5qKgovvKVrww655m8v6kSgGew9evXR1NTUzQ3N0d7e3tMmzYtGhsbY9++fQOOf/rpp2P+/Plx6623xvbt22Pu3Lkxd+7ceO6550Z45SfvqaeeiiVLlsRPf/rT2Lx5cxw5ciSuu+66OHTo0JDnlZeXx6uvvpp/7d69e4RW/Na9973v7bf2H//4x4OOHct7GxHxn//5n/2udfPmzRER8Wd/9meDnjOW9vbQoUMxbdq0WLNmzYCf//KXvxz/9E//FGvXro2f/exn8ba3vS0aGxvjjTfeGHTOk73/R9JQ13v48OFob2+PO++8M9rb2+MHP/hB7NixI2688cbjznsy98RIOt7+RkRcf/31/db+3e9+d8g5x+r+RkS/63z11Vdj3bp1UVRUFH/yJ38y5Lxn6v4mK+OMNWvWrGzJkiX5j/v6+rLJkydnLS0tA47/6Ec/ms2ePbvfsbq6uuwv/uIvTus6T4d9+/ZlEZE99dRTg4558MEHs4qKipFb1DBqbm7Opk2bdsLjC2lvsyzLbr/99uziiy/OcrncgJ8fy3sbEdmjjz6a/ziXy2XV1dXZV77ylfyx119/PSstLc2++93vDjrPyd7/o+XN1zuQrVu3ZhGR7d69e9AxJ3tPjJaBrnfhwoXZTTfddFLzFNL+3nTTTdmHPvShIceMlf1NiSeAZ6je3t7Ytm1bNDQ05I8VFxdHQ0NDtLW1DXhOW1tbv/EREY2NjYOOP5N1dXVFRMQ73vGOIcf99re/jQsuuCBqamripptuip///Ocjsbxh8eKLL8bkyZPjoosuiptvvjn27Nkz6NhC2tve3t74zne+E3/+538eRUVFg44by3v7+3bt2hUdHR399q+ioiLq6uoG3b9Tuf/PZF1dXVFUVHTcvzv9ZO6JM82WLVti4sSJcemll8Ztt90Wv/nNbwYdW0j729nZGRs2bIhbb731uGPH8v4WIgF4hjpw4ED09fXl/yaTo6qqqqKjo2PAczo6Ok5q/Jkql8vFZz7zmbjmmmuG/JtZLr300li3bl388Ic/jO985zuRy+Xi6quvjl/96lcjuNpTU1dXFw899FBs2rQp7rvvvti1a1dce+21cfDgwQHHF8reRkQ89thj8frrr8cnPvGJQceM5b19s6N7dDL7dyr3/5nqjTfeiKVLl8b8+fOjvLx80HEne0+cSa6//vr49re/Ha2trfGlL30pnnrqqbjhhhuir69vwPGFtL/f+ta34txzz40//uM/HnLcWN7fQlUwfxUchWPJkiXx3HPPHff3Q+rr66O+vj7/8dVXXx2XX355fOMb34i77777dC/zLbnhhhvy/3zVVVdFXV1dXHDBBfG9733vhP5Peix74IEH4oYbbojJkycPOmYs7y2/c+TIkfjoRz8aWZbFfffdN+TYsXxPfOxjH8v/89SpU+Oqq66Kiy++OLZs2RIf/vCHR3Flp9+6devi5ptvPu6btMby/hYqTwDPUJWVlTFu3Ljo7Ozsd7yzszOqq6sHPKe6uvqkxp+JPv3pT8e//uu/xpNPPhnnn3/+SZ171llnxfve977YuXPnaVrd6TNhwoS45JJLBl17IextRMTu3bvjiSeeiE9+8pMndd5Y3tuje3Qy+3cq9/+Z5mj87d69OzZv3jzk07+BHO+eOJNddNFFUVlZOejaC2F/IyL+4z/+I3bs2HHS93PE2N7fQiEAz1AlJSUxY8aMaG1tzR/L5XLR2tra78nI76uvr+83PiJi8+bNg44/k2RZFp/+9Kfj0UcfjR/96Edx4YUXnvQcfX198eyzz8akSZNOwwpPr9/+9rfx0ksvDbr2sby3v+/BBx+MiRMnxuzZs0/qvLG8txdeeGFUV1f327/u7u742c9+Nuj+ncr9fyY5Gn8vvvhiPPHEE/HOd77zpOc43j1xJvvVr34Vv/nNbwZd+1jf36MeeOCBmDFjRkybNu2kzx3L+1swRvtdKAzukUceyUpLS7OHHnoo+5//+Z/sU5/6VDZhwoSso6Mjy7Isu+WWW7Jly5blx//kJz/Jxo8fn331q1/Nnn/++ay5uTk766yzsmeffXa0LuGE3XbbbVlFRUW2ZcuW7NVXX82/Dh8+nB/z5uu96667sscffzx76aWXsm3btmUf+9jHsrKysuznP//5aFzCSfmbv/mbbMuWLdmuXbuyn/zkJ1lDQ0NWWVmZ7du3L8uywtrbo/r6+rJ3v/vd2dKlS4/53Fjf24MHD2bbt2/Ptm/fnkVEtmrVqmz79u35d72uXLkymzBhQvbDH/4w++///u/spptuyi688MLsf//3f/NzfOhDH8q+9rWv5T8+3v0/moa63t7e3uzGG2/Mzj///OyZZ57pdz/39PTk53jz9R7vnhhNQ13vwYMHs8997nNZW1tbtmvXruyJJ57I3v/+92fvec97sjfeeCM/R6Hs71FdXV3ZOeeck913330DzjGW9jdVAvAM97WvfS1797vfnZWUlGSzZs3KfvrTn+Y/98EPfjBbuHBhv/Hf+973sksuuSQrKSnJ3vve92YbNmwY4RWfmogY8PXggw/mx7z5ej/zmc/k/91UVVVlH/nIR7L29vaRX/wpmDdvXjZp0qSspKQkmzJlSjZv3rxs586d+c8X0t4e9fjjj2cRke3YseOYz431vX3yyScH/O/36DXlcrnszjvvzKqqqrLS0tLswx/+8DH/Hi644IKsubm537Gh7v/RNNT17tq1a9D7+cknn8zP8ebrPd49MZqGut7Dhw9n1113Xfaud70rO+uss7ILLrggW7x48TEhVyj7e9Q3vvGN7Oyzz85ef/31AecYS/ubqqIsy7LT+ogRAIAzit8BBABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIjAAEAEiMAAQASIwABABIzP8DBzlUKxNky6kAAAAASUVORK5CYII=",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "hist_dark = np.histogram(detection_dark[2::4], bins=np.arange(20), density=True)\n",
    "plt.bar(hist_dark[1][:-1],hist_dark[0])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "44937aa5-79e8-47e1-8c49-5e6cfb1b25b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "63800752c2a74234a3f02d0aaae5973e",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.hist(detection_dark[2::4],bins=np.arange(20))\n",
    "plt.hist(detection_bright[2::4],bins=np.arange(20))\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7ebe7d5a-6329-47dd-9c77-7500b3a8b2c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.994\n",
      "0.98668402082499\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9903420104124949"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = 2\n",
    "print(sum(hist_dark[0][:i]))\n",
    "print(sum(hist_bright[0][i:]))\n",
    "(sum(hist_bright[0][i:])+sum(hist_dark[0][:i]))/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bb2d0f04-646c-4e16-ac50-2bcfee64d912",
   "metadata": {},
   "outputs": [],
   "source": [
    "def histogram_plot(bright_data, dark_data):\n",
    "    max_index = max(max(bright_data),max(dark_data))\n",
    "    hist_bright = np.histogram(bright_data, bins=np.arange(max_index), density=True)\n",
    "    hist_dark = np.histogram(dark_data, bins=np.arange(max_index), density=True)\n",
    "    plt.figure()\n",
    "    plt.bar(hist_bright[1][:-1]+0.5,hist_bright[0])\n",
    "    plt.bar(hist_dark[1][:-1]+0.5,hist_dark[0])\n",
    "    plt.show() \n",
    "    fidelity_list = [(sum(hist_bright[0][i:])+sum(hist_dark[0][:i]))/2 for i in range(max_index)]\n",
    "    threshold = max(range(len(fidelity_list)), key=fidelity_list.__getitem__)\n",
    "    return [threshold + 1, fidelity_list[threshold]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "25045ebb-692f-4aab-a49d-dd3c091c6b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "32b59fb810124757868aa177bc3978c8",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[3, 0.9903473389355744]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "histogram_plot(detection_bright[2::4],detection_dark[2::4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ece60a93-d4d9-41fb-b209-adc7999cef11",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
